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-learning models (e.g., graph neural networks, equivariant architectures) in collaboration with computer science researchers. Applying developed models to problems in Earth and planetary interiors, such as
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: 285829862 Postdoctoral Research Associate - AI/machine learning for biochemistry Location: Princeton, New Jersey Salary Range or Pay Grade: $65,000-$70,000 Description The Skinnider Lab at Princeton
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excellent troubleshooter, with rigorous mathematical and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will be expected to lead their own research projects
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. The position will be advised by Josh Atkinson and will work in close collaboration with the Avalos lab at Princeton. The main responsibilities of the Postdoctoral Research Associate is to lead the design and
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science and engineering applied to stakeholder-relevant issues. The scientists will collaborate with Princeton and NOAA/GFDL researchers to expand the reach of GFDL's model data (both historical and future
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, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in
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and collaborative research on the above topics. Preference will be given to candidates that have obtained their PhD within the last year. While this listing is open to all social science disciplines
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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second-year contingent on performance and continued funding. Fellows in the postdoctoral track are not required or expected to teach, but if they wish, they may have the option of teaching. Teaching