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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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-year appointments. Salary and benefits are competitive and commensurate with experience, following Princeton University guidelines. Research Scope Benchmarking and evaluating existing foundation models
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: 286038022 Postdoctoral Research Associate D-26-POL-00006 | Research | Data-Driven Social Science Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications
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positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies. The appointment
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focus will be on introducing new AI models to chart the chemical âœdark matterâ of the mammalian metabolome; examples of such models include large supervised or self-supervised AI models for mass
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— Plasma diagnostics and experimental data analysis â— Plasma control and instability prediction â— Signal processing and data-driven analysis of plasma measurements Requirements: â
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interdisciplinary group that is tackling a wide variety of health-related research problems using advanced data-driven, computational approaches. Successful candidates will be willing and able to work across a
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Moore.org or follow @MooreFound. The foundation's $185-million EPiQS initiative promotes discovery-driven research in the field of quantum materials (http://www.moore.org/programs/science/emergent-phenomena
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to