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<p>Lawrence Berkeley National Lab's (LBNL) Computational Research
Division has an opening for a Postdoctoral Scholar in applying
machine learning tools to optimization, sampling and uncertainty
quantification in the Center for Computational Sciences and
Engineering. <br>
<br>
In this exciting role,you will be doing research with a
combination of elements of applied mathematics, statistics,
machine learning and computational science. The successful
applicant will develop, test, and benchmark new algorithms for
high-dimensional inference and data analysis, using machine
learning models to accelerate computations. The postdoc will also
tightly collaborate with Prof. Seljak's group at UC Berkeley. <br>
<br>
For more information about the optimization effort in the Center
for Computational Sciences and Engineering, please visit <a href="https://optimization.lbl.gov/" title="Unmangled Microsoft
Safelink" class="moz-txt-link-freetext">https://optimization.lbl.gov/</a>.
More information about research in Prof. Seljak's group can be
found at <a href="http://bccp.berkeley.edu/" title="Unmangled
Microsoft Safelink" class="moz-txt-link-freetext">http://bccp.berkeley.edu</a>.<br>
<br>
For full consideration, please apply at <a href="http://m.rfer.us/LBLNMD4Bc" title="Unmangled Microsoft
Safelink">m.rfer.us/LBLNMD4Bc</a><br>
<br>
Berkeley Lab is committed to Inclusion, Diversity, Equity and
Accountability (IDEA) and strives to continue building<span> </span><span>community</span><span> </span>with
these shared values and commitments.<br>
Berkeley Lab is an Equal Opportunity and Affirmative Action
Employer. We heartily welcome applications from women, minorities,
veterans, and all who would contribute to the Lab's mission of
leading scientific discovery, inclusion, and professionalism. In
support of our diverse global<span> </span><span>community</span>,
all qualified applicants will be considered for employment without
regard to race, color, religion, sex, sexual orientation, gender
identity, national origin, disability, age, or protected veteran
status.</p>
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