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-------- Original Message --------
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<td>[Ieee_vis_open_positions] Postdoctoral position at
Argonne National Laboratory in data-intensive analysis,
visualization, and storage</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">Date: </th>
<td>Fri, 12 Oct 2012 12:53:12 -0500</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">From: </th>
<td>Tom Peterka <a class="moz-txt-link-rfc2396E" href="mailto:tpeterka@mcs.anl.gov"><tpeterka@mcs.anl.gov></a></td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de">ieee_vis_open_positions@listserv.uni-tuebingen.de</a></td>
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Hello,<br>
<br>
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: <a moz-do-not-send="true"
href="http://web.anl.gov/jobsearch/detail.jsp?userreqid=319355+MCS&lsBrowse=POSTDOC">http://web.anl.gov/jobsearch/detail.jsp?userreqid=319355+MCS&lsBrowse=POSTDOC</a>
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