126 phd-computational-intelligence-"Multiple" Postdoctoral positions at Princeton University
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defense date, and academic interests; *Current curriculum vitae, including publications; *2,000-word description of the proposed research project, including its specific objectives, importance, and research
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epilepsy patients and non-human primates are conducted using identical behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral researcher with
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University invites applications for postdoctoral positions. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
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commitment to interdisciplinary research are especially encouraged to apply. Responsibilities will include: - Developing a computational Artificial Intelligence form finding design framework to shape
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, Postdoctoral Research Associates will hold the additional rank of Lecturer. Eligible candidate must have less than three years of post- PhD research experience prior to anticipated start date. Postdoctoral
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools
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researchers at Princeton and other institutions, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with
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on democratic political processes and institutions. PhD required. Each post-doctoral associate will pursue research and contribute to the intellectual life of the Center, the Princeton School of Public and
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approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through the various core facilities at Princeton University