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Specialist, to develop computational software tools for the lab, support efforts of the research team, train students and postdocs, contribute to data management and analysis, and innovate computational
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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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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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, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a
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to attract self-motivated and talented researchers who work well in a team environment. The successful candidate will work closely with the lab's graduate students and postdocs to develop reproducible
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, that enhances the public profile of the PNI and creates advanced opportunities for training of graduate students and postdocs. Work with the Associate Director of Science Outreach to develop an informal education
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researchers who work well in a team environment. The successful candidate will work closely with the lab's graduate students and postdocs to develop reproducible bioinformatics workflows for addressing
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infrastructure with on-site facilities teams, and oversee plasma reactor modifications and maintenance. Manage research staff and postdocs working on growing and processing diamond, plasma diagnostics, modeling
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researchers who work well in a team environment. The successful candidate will work closely with the lab's graduate students and postdocs to develop reproducible bioinformatics workflows for addressing
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visiting research scholars and postdocs: Advertise opportunities broadly, respond to questions from applicants, organize applicant materials for review by Centerâ™s Executive Committee, close out searches