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      <br>
      -------- Forwarded Message --------
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
            </th>
            <td>[Ieee_vis_open_positions] Postdoctoral Researcher
              Positions in Visual Analytics, Data Science and Trustable
              AI at the University of Oklahoma</td>
          </tr>
          <tr>
            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
            <td>Thu, 8 Apr 2021 20:59:52 +0000</td>
          </tr>
          <tr>
            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
            <td>Ebert, David via ieee_vis_open_positions <a
                class="moz-txt-link-rfc2396E"
                href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de"
                moz-do-not-send="true"><ieee_vis_open_positions@listserv.uni-tuebingen.de></a></td>
          </tr>
          <tr>
            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Reply-To:
            </th>
            <td>Ebert, David <a class="moz-txt-link-rfc2396E"
                href="mailto:ebert@ou.edu" moz-do-not-send="true"><ebert@ou.edu></a></td>
          </tr>
          <tr>
            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
            <td><a class="moz-txt-link-abbreviated"
                href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de"
                moz-do-not-send="true">ieee_vis_open_positions@listserv.uni-tuebingen.de</a>
              <a class="moz-txt-link-rfc2396E"
                href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de"
                moz-do-not-send="true"><ieee_vis_open_positions@listserv.uni-tuebingen.de></a></td>
          </tr>
          <tr>
            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">CC: </th>
            <td>Ebert, David <a class="moz-txt-link-rfc2396E"
                href="mailto:ebert@ou.edu" moz-do-not-send="true"><ebert@ou.edu></a></td>
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        <p class="MsoNormal"><b>Postdoctoral Researcher Positions in
            Visual Analytics, Data Science and Trustable AI<o:p></o:p></b></p>
        <p class="MsoNormal">Data Institute for Societal Challenges<o:p></o:p></p>
        <p class="MsoNormal">The University of Oklahoma, Norman, OK<o:p></o:p></p>
        <p class="MsoNormal"> <o:p></o:p></p>
        <p class="MsoNormal" style="text-align:justify">We invite
          applications for two postdoctoral researchers <b><u>with
              Summer or Fall start dates</u></b> in visual analytics,
          data science, machine learning, trustable AI, social media
          analytics, and big data analytics across a wide spectrum of
          application areas. <o:p></o:p></p>
        <p class="MsoNormal">The successful candidate will perform
          duties including:<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoNormal"
            style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0
            level1 lfo1"> Research in visual analytics in application
            domains including social media analysis, interactive and
            explainable AI, sustainable food-energy-water systems public
            safety, crisis management, functional soil mapping,
            precision agriculture. <o:p></o:p></li>
          <li class="MsoListParagraphCxSpFirst"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0
            level1 lfo1"> <span
              style="font-family:"Verdana",sans-serif">Research
              in </span><span
              style="font-family:"Verdana",sans-serif;background:white">Foundational
              Data Science with a specific focus on trustable and
              scientific AI<o:p></o:p></span></li>
        </ul>
        <p class="MsoListParagraphCxSpLast" style="text-align:justify"><span
style="font-family:"Verdana",sans-serif;color:black;background:white"><o:p> </o:p></span></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoNormal"
            style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0
            level1 lfo1"> Assist in drafting successful research grant
            proposals.<o:p></o:p></li>
          <li class="MsoNormal"
            style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0
            level1 lfo1"> Lead research activities within the group,
            including project management and stakeholder engagement.<o:p></o:p></li>
          <li class="MsoNormal"
            style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0
            level1 lfo1"> Assist in supervising graduate and
            undergraduate students. <o:p></o:p></li>
          <li class="MsoNormal"
            style="margin-bottom:8.0pt;line-height:12.6pt;mso-list:l0
            level1 lfo1"> Interface with renowned academic research
            groups at and beyond OU.<o:p></o:p></li>
        </ul>
        <p class="MsoNormal"><b>Requirements<o:p></o:p></b></p>
        <p class="MsoNormal" style="text-align:justify">The candidate
          should hold a Ph.D. in Computer Science, Information Science,
          Industrial Engineering, Geography, Statistics, Data Science or
          a related field, with a strong research background and
          expertise in data science, visual analytics, trustable,
          explainable AI, or some of these areas: <o:p> </o:p></p>
      </div>
      <span
style="font-size:12.0pt;font-family:"Verdana",sans-serif;color:black;mso-fareast-language:EN-US"><br
          style="page-break-before:auto" clear="all">
      </span>
      <div class="WordSection2">
        <ul style="margin-top:0in" type="disc">
          <li class="MsoListParagraphCxSpFirst"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Geospatial
              and temporal analysis<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Statistics
              <o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Machine
              learning/AI<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Human-guided
              AI<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Cognitive
              science <o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Human-computer
              interaction<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Big
              data <o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Human
              factors <o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Health
              and public health analytics <o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Digital
              Humanities<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Food-water-energy
              systems<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpLast"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l4
            level1 lfo2"> <span
              style="font-family:"Verdana",sans-serif">Sustainable/precision
              agriculture <o:p> </o:p></span></li>
        </ul>
      </div>
      <span
style="font-size:12.0pt;font-family:"Verdana",sans-serif;color:black;mso-fareast-language:EN-US"><br
          style="page-break-before:always" clear="all">
      </span>
      <div class="WordSection3">
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">OU has multiple joint research projects
          with Peruvian Universities. Therefore, professional
          proficiency in <u>Spanish</u> is a plus.  <o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">Both beginning and senior postdoctoral
          candidates are encouraged to apply. Excellent oral and written
          communication skills are mandatory.<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal"><b><span style="color:black">About Us<o:p></o:p></span></b></p>
        <p class="MsoNormal" style="text-align:justify">We are the OU
          Data Science Institute for Societal Challenges (DISC Center).
           The DISC Center is a new campus-wide institute in the Vice
          President for Research and Partnerships office. Our mission is
          to empower transdisciplinary research and collaboration to
          drive convergent solutions to societal challenges in Oklahoma,
          the nation, and the world through data science research, tools
          and capabilities.   <span style="color:windowtext"><o:p></o:p></span></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal" style="text-align:justify"><span
            style="background:white">The Data Institute for Societal
            Challenges convenes diverse teams to collaborate to solve
            some of the world’s most pressing problems and achieve a
            lasting societal impact.  These communities are:<o:p></o:p></span></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoListParagraphCxSpFirst"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1
            level1 lfo3"> <span
              style="font-family:"Verdana",sans-serif;background:white">Foundational
              Data Science<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1
            level1 lfo3"> <span
              style="font-family:"Verdana",sans-serif;background:white">Aerospace,
              Defense and Global Security<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
            style="margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1
            level1 lfo3"> <span
              style="font-family:"Verdana",sans-serif">Community
              and Societal Transformation<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpMiddle"
            style="margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1
            level1 lfo3"> <span
              style="font-family:"Verdana",sans-serif">The
              Future of Health<o:p></o:p></span></li>
          <li class="MsoListParagraphCxSpLast"
            style="margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l1
            level1 lfo3"> <span
style="font-family:"Verdana",sans-serif;color:black;border:none
              windowtext 1.0pt;padding:0in">Environment, Energy, and
              Sustainability  </span><span
              style="font-family:"Verdana",sans-serif"><o:p></o:p></span></li>
        </ul>
        <p class="MsoNormal"><span style="font-family:"Times New
            Roman",serif"><o:p> </o:p></span></p>
        <p class="MsoNormal" style="text-align:justify">DISC works
          closely with local and international collaborators, including
          social media experts, sustainability experts, agricultural
          producers, health and public safety departments, economists,
          first responders, computational scientists, businesses, and
          researchers in science, engineering, and economics.<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">Some of the projects DISC is currently
          engaged with include:<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoListParagraph"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2
            level1 lfo4"> <i><span
                style="font-family:"Verdana",sans-serif">Visual
                Analytics for Public Health Applications<o:p></o:p></span></i></li>
        </ul>
        <p class="MsoNormal" style="margin-left:.5in;text-align:justify"><span
            style="font-size:10.0pt">The ongoing and evolving COVID-19
            pandemic has resulted in tremendous negative effects on
            people’s daily lives. It is critical for decision makers
            such as health care officials and governors to foresee
            potential impacts and make timely decisions. To aid in this
            process, we are developing PanViz 2.0, a visual analytics
            application that combines epidemic model and AI-driven
            analytics to infer the best-fit parameters to enable the
            adaptation to ongoing pandemics at multiple spatial
            aggregations (national wide, state level, and county level).<o:p></o:p></span></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoListParagraphCxSpFirst"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l2
            level1 lfo4"> <i><span
                style="font-family:"Verdana",sans-serif">Data
                Analytics for Social Justice<o:p></o:p></span></i></li>
        </ul>
        <p class="MsoListParagraphCxSpMiddle" style="text-align:justify"><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">DISC
            is currently engaged in a series of projects that fall under
            the broad label of data analytics for social justice. These
            projects include the extension of the SMART system to
            analyze changes in public perceptions and opinions around
            policing in communities of color (Social Media and the
            Visual Politics of Policing Communities of Color). We are
            working alongside the OU Carceral Studies Consortium to
            apply data science and data analytics to study the long-term
            effects of incarceration while developing policy solutions
            centered on reducing juvenile incarceration. <o:p></o:p></span></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoListParagraphCxSpMiddle"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l2
            level1 lfo4"> <i><span
                style="font-family:"Verdana",sans-serif">Detecting
                and Countering Online Misinformation<o:p></o:p></span></i></li>
        </ul>
        <p class="MsoListParagraphCxSpMiddle" style="text-align:justify"><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">Recent
            events have highlighted the pernicious and deleterious
            impact that misinformation and disinformation have on public
            discourse and policy making. DISC is directly involved in
            several projects seeking to identify, label, and counter the
            spread of misinformation and disinformation </span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:#444444;background:#FAFAFA">through
            integrated social science theory, risk communication, data
            science, cognitive psychology, and communication theories
            and techniques.</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">
            One of these projects, conducted in conjunction with
            researchers from the Gaylord College of Journalism, focuses
            on identifying and countering misinformation around cancer
            treatments. <o:p></o:p></span></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoListParagraphCxSpLast"
            style="margin-left:0in;mso-add-space:auto;mso-list:l3 level1
            lfo5"> <i><span
style="font-family:"Verdana",sans-serif;color:black;background:white">AI
                Institute Planning grant: A Gap-Based Approach to Frame
                and Develop Robust AI for Sustainable, Climate-Adapted
                Agriculture</span></i><i><span
                style="font-family:"Verdana",sans-serif"><o:p></o:p></span></i></li>
        </ul>
        <p class="MsoNormal" style="margin-left:.5in;text-align:justify"><span
            style="font-size:10.0pt">This NSF/USDA project aims to build
            stakeholder trust in the power of artificial intelligence to
            create congruency and efficiency in predicting Climate,
            Food, and Water processes by leveraging the foundation of
            the physical and biological processes underlying the data
            and their model representations.  <o:p></o:p></span></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoListParagraph"
            style="margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2
            level1 lfo4"> <i><span
                style="font-family:"Verdana",sans-serif">UNSA/OU
                Alianza Institute: Public Health Monitoring and Decision
                Making in Peru<o:p></o:p></span></i></li>
        </ul>
        <p class="MsoNormal" style="margin-left:.5in;text-align:justify"><span
            style="font-size:10.0pt">This pilot project will evaluate
            the feasibility of a real-time, electronic, syndromic
            surveillance and decision-making system to provide (i) base
            data needed for accurate situational surveillance, virus
            spread status, and measurement of mitigation actions, and
            (ii) support for timely, data-, model-, and expertise-driven
            problem solving<o:p></o:p></span></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoListParagraphCxSpFirst"
            style="color:black;margin-left:0in;mso-add-space:auto;mso-list:l2
            level1 lfo4"> <i><span
                style="font-family:"Verdana",sans-serif;color:windowtext">Social
                Media Analytics and Reporting Toolkit (SMART)</span></i><i><span
                style="font-family:"Verdana",sans-serif"><o:p></o:p></span></i></li>
        </ul>
        <p class="MsoListParagraphCxSpMiddle" style="text-align:justify"><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif">The
            Social Media Analytics and Reporting Toolkit (SMART)
            provides interactive exploration and analysis of real-time,
            publicly available Twitter and Instagram data through
            scalable integrated topic modeling algorithms, spatial
            cluster visualizations, exclusion and inclusion of semantic
            keyword filters, and temporal views. SMART is powered by
            advanced analytics and human-guided, interactive machine
            learning for applications in misinformation and
            disinformation, social justice, and public safety.<o:p></o:p></span></p>
        <ul style="margin-top:0in" type="disc">
          <li class="MsoListParagraphCxSpMiddle"
style="color:black;margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2
            level1 lfo4"> <i><span
                style="font-family:"Verdana",sans-serif;color:windowtext">NATO-
                netwoRk for alErting And managing publiC safeTy and
                resilience – REACT</span></i><i><span
                style="font-family:"Verdana",sans-serif"><o:p></o:p></span></i></li>
        </ul>
        <p class="MsoListParagraphCxSpLast" style="text-align:justify"><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">This
            project will develop </span><span
            style="font-size:10.0pt;font-family:"Verdana",sans-serif"> an
            innovative pilot platform (REACT) for the rapid and
            effective response and management of natural or man-made
            crisis scenarios, integrating real-time social media
            analysis and real-time chemical and biological sensing.<o:p></o:p></span></p>
        <p class="MsoNormal" style="margin-left:.5in;text-align:justify"><span
            style="font-size:10.0pt"><o:p> </o:p></span></p>
        <p class="MsoNormal" style="margin-left:.5in"><o:p> </o:p></p>
        <p class="MsoNormal"><b>To apply<o:p></o:p></b></p>
        <p class="MsoNormal">Please send your CV and a one-page research
          statement to Dr. David Ebert (<a href="mailto:ebert@ou.edu"
            moz-do-not-send="true">ebert@ou.edu</a>) and Dr. Audrey
          Reinert (<a href="mailto:areinert@ou.edu"
            moz-do-not-send="true">areinert@ou.edu</a>). Applications
          will be reviewed on a rolling basis until the positions are
          filled. <o:p></o:p></p>
        <p class="MsoNormal"> <o:p></o:p></p>
        <p class="MsoNormal">Sincerely,<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">David<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Dr.
            David S. Ebert,  Gallogly Chair Professor of ECE and CS<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Associate
            Vice President of Research and Partnerships<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Director,
            Data Institute for Societal Challenges (DISC)<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">University
            of Oklahoma  <o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">5
            Partners Place<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">201
            Stephenson Pkwy, Ste 4600<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Norman,
            OK 73019<o:p></o:p></span></p>
        <p class="MsoNormal"><a href="mailto:ebert@ou.edu"
            moz-do-not-send="true"><span
              style="font-size:11.0pt;font-family:"Arial",sans-serif">ebert@ou.edu</span></a><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">
                                    </span><span
style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext"><o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal"><span
style="font-size:14.0pt;font-family:"Arial",sans-serif;color:windowtext"><o:p> </o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:14.0pt;font-family:"Arial",sans-serif;color:windowtext"><o:p> </o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Dr.
            David S. Ebert,  Gallogly Chair Professor of ECE and CS<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Associate
            Vice President of Research and Partnerships<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Director,
            Data Institute for Societal Challenges (DISC)<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">University
            of Oklahoma  <o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">5
            Partners Place<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">201
            Stephenson Pkwy, Ste 4600<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D">Norman,
            OK 73019<o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1F497D"><a
              href="mailto:ebert@ou.edu" moz-do-not-send="true"><span
                style="color:blue">ebert@ou.edu</span></a>
                                    </span><span
style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext"><o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext"><o:p> </o:p></span></p>
        <p class="MsoNormal"><o:p> </o:p></p>
      </div>
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