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      -------- Original Message --------
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">Subject:
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            <td>[Members] [General] Postdoctoral Position in
              Data-intensive Analysis, Visualization, and Storage,
              Argonne National Laboratory</td>
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">Date: </th>
            <td>Tue, 16 Oct 2012 10:20:44 +0200</td>
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">From: </th>
            <td>Stefanie Behnke <a class="moz-txt-link-rfc2396E" href="mailto:s.behnke@eg.org"><s.behnke@eg.org></a></td>
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">To: </th>
            <td><a class="moz-txt-link-rfc2396E" href="mailto:general@eg.org"><general@eg.org></a></td>
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        <p class="MsoNormal"><span lang="EN-US">Postdoctoral Position in
            Data-intensive Analysis, Visualization, and Storage, Argonne
            National Laboratory<o:p></o:p></span></p>
        <p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
        <p class="MsoNormal"><span lang="EN-US">We are seeking a
            postdoctoral appointee in data-intensive analysis,
            visualization, and storage. Join a vibrant multidisciplinary
            research team of computer scientists and discover new
            parallel scalable algorithms for data analysis and
            visualization, storage and analysis of scientific data, and
            integrate your ideas in parallel scientific simulations on
            some of the worlds largest supercomputers. <br>
            <br>
            You will work in the Mathematics and Computer Science (MCS)
            Division at Argonne National Laboratory, in the Chicago
            suburbs, funded by the DOE SciDAC Scientific Data Analysis
            and Visualization (SDAV) Center, the DOE Center for Exascale
            Simulation of Advanced Reactors (CESAR), and other projects.
            Be part of an integrated, multidisciplinary research team
            and collaborate with computer and computational scientists
            at Argonne as well as in the broader community. <br>
            <br>
            The ideal candidate will have comprehensive knowledge in
            C/C++ programming under Unix/Linux, and experience in data
            analysis and/or scientific visualization, including one or
            more of the following: statistical analysis, graph analysis,
            data mining, visualization of scalar and vector multivariate
            data. Experience in software development for parallel
            computing is a plus. Candidates should have earned a Ph.D.
            in computer science within the past three years. <br>
            <br>
            Follow the link below to the official Argonne job posting
            and apply online there. The attached advertisement has more
            information as well. To apply: </span><a
            moz-do-not-send="true"
href="http://web.anl.gov/jobsearch/detail.jsp?userreqid=319355+MCS&lsBrowse=POSTDOC"><span
              lang="EN-US">http://web.anl.gov/jobsearch/detail.jsp?userreqid=319355+MCS&lsBrowse=POSTDOC</span></a><span
            lang="EN-US"><o:p></o:p></span></p>
        <p class="MsoNormal"><span
style="font-size:11.0pt;font-family:"Calibri","sans-serif""
            lang="EN-US"><o:p> </o:p></span></p>
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