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at Princeton University to study the social determinants of young adult cardiovascular health as well as genetic, epigenetic and environmental interactions. The postdoc will collaborate with researchers
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interpretation of model output, the management of large datasets and the application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other
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of renewal, pending satisfactory performance. QUALIFICATIONS: Postdocs are expected to have outstanding potential and be self-motivated, goal-oriented and capable of successfully communicating ideas to diverse
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other lab and center researchers, postdocs, and graduate students across disciplines. The researcher will contribute to the design and implementation of an applied research project to increase the speed
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at Princeton University to study the social determinants of young adult cardiovascular health as well as genetic, epigenetic and environmental interactions. The postdoc will collaborate with researchers
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interpretation of model output, the management of large datasets and the application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other
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application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across
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sustainable energy and environmental future. The researcher will report to BSPL's Director Elke Weber and Rapid Switch lead Chris Greig and will collaborate with other lab and center researchers, postdocs, and
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to participate in projects that examine American political institutions. The postdoc will work on a variety of projects, which may include research on judicial and legislative behavior, as well as broader
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of young adult cardiovascular health as well as genetic, epigenetic and environmental interactions. The postdoc will collaborate with researchers to analyze newly collected biosocial data