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<p class="MsoNormal"><a href="https://jobs.carnegiescience.edu/jobs/postdoctoral-research-fellow-in-geochemistry-and-data-science/">https://jobs.carnegiescience.edu/jobs/postdoctoral-research-fellow-in-geochemistry-and-data-science/</a><o:p></o:p></p>
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<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Arial",sans-serif;color:#555555;background:white">Postdoctoral Research Fellow in Geochemistry and Data Science<o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;font-family:"inherit",serif;color:#555555;border:none windowtext 1.0pt;padding:0in"><br>
</span></b><strong><span style="font-size:10.5pt;font-family:"inherit",serif;color:#555555;border:none windowtext 1.0pt;padding:0in">Department: </span></strong><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#555555"><a href="https://jobs.carnegiescience.edu/jobs/epl/" title="Jobs for EPL - Earth and Planets Laboratory"><span style="font-family:"inherit",serif;color:#5EB6CD;border:none windowtext 1.0pt;padding:0in">EPL
– Earth and Planets Laboratory</span></a><o:p></o:p></span></p>
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<strong><span style="font-size:10.5pt;font-family:"inherit",serif;color:#555555;border:none windowtext 1.0pt;padding:0in">Salary:</span></strong><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#555555"><o:p></o:p></span></p>
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<strong><span style="font-size:10.5pt;font-family:"inherit",serif;color:#555555;border:none windowtext 1.0pt;padding:0in">Location: </span></strong><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#555555">Washington, D.C.<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#555555">The Carnegie Institution for Science’s Earth and Planets Laboratory seeks a highly-qualified applicant for a Postdoctoral Research Fellow position with expertise in geochemistry and
data science. The successful candidate should have deep knowledge of geochemistry and petrology, particularly in the context of deep-time data-driven discovery (https://4d.carnegiescience.edu/), as well as proficiency in machine learning, numerical modeling,
high-performance computing, and geospatial analysis. Research projects will be defined by the successful candidate in collaboration with members of the 4D Initiative team, including Robert Hazen and Shaunna Morrison at Carnegie, as well as the NASA Astrobiology
ENIGMA team (https://enigma.rutgers.edu/) and the Tetherless World Constellation (https://tw.rpi.edu/).<o:p></o:p></span></p>
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<u><span style="font-size:10.5pt;font-family:"inherit",serif;color:#555555;border:none windowtext 1.0pt;padding:0in">Minimum qualifications:</span></u><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#555555"> The applicant must have a PhD
in Geoscience and must be proficient in methods of data-driven discovery. Familiarity with database development, management, and use; programming, including knowledge of python and R coding; experience with machine-learning applications to geoscience problems;
and the interest and ability to work knowledgeably with data scientists, applied mathematics colleagues, and bioinformaticians, are essential.<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#555555">This full-time, 2-year position will commence on or after February 1, 2021, and will be based at the Earth and Planets Laboratory at the Carnegie Institution’s Broad Branch Road campus
in Washington, DC. This is an FLSA Exempt position. Interested applicants should submit a CV, contact information for three references, a cover letter, and a 1-page research proposal by December 31, 2020.<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#555555">Only complete applications submitted via this Carnegie website will be considered.<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#555555">At Carnegie, we are committed to building a diverse and inclusive community. We believe academic environments should be places where diverse groups of people with a variety of viewpoints
and ideas can thrive and work together. As such, we encourage applicants from under-represented groups and backgrounds to apply. The Carnegie Institution is an equal opportunity employer. All qualified applicants will receive consideration for employment and
will not be discriminated against on the basis of gender, race/ethnicity, protected veteran status, disability, or other protected group status.<o:p></o:p></span></p>
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