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environmental science is of supreme importance. Students entering the science classroom bring well-developed intuitive frameworks that help them understand, explain, and predict the world around them. These
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analyses of neural recordings. Integrate iEEG data with neuroimaging (MRI, CT, fMRI), behavioral, and clinical datasets. Develop and implement computational pipelines using MATLAB, Python, or similar
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, the Postdoctoral Associate will be expected to prepare manuscripts for publication, present research at local and national meetings, and contribute to grant applications and reporting. The Postdoctoral Associate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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, determined according to the applicant's expertise and development goals. Together, Spakowicz and Chambers lab study how the microbiome affects the response to cancer treatments, especially immunotherapy, and
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the field of genomics, evolution, population genetics, computational biology, biological informatics, quantitative genetics, or related fields. Strong background in plant genomics, quantitative genetics, and
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. The successful applicant will have the opportunity to develop an autonomous line of research related to the interests of the lab in evolutionary genomics. Motivated applicants with a strong background in
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seeking a Postdoctoral Scholar to lead the development of an adaptable, open-source modeling framework designed to evaluate the technical and economic potential of agrivoltaic systems. As the global demand
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (https://foylab.xyz/ ), focused on developing computational methods to enhance how we collect, analyze and use clinical
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward