203 engineering-computation "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" Postdoctoral positions at Princeton University
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: 281084932 Postdoctoral Research Associate D-25-CEE-00006 | Research | Civil and Environmental Engineering The Moini Lab in the Department of Civil and Environmental Engineering (CEE) at Princeton University
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, Electrical, Chemical, Mechanical, Civil or Bio Engineering or related area is required. We are interested in candidates who have an interest in: *Advanced Manufacturing and Integration of Scalable Structures
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-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but involves close interactions with experimental
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: 280912384 Postdoctoral Research Associate D-25-CEE-00004 | Research | Civil and Environmental Engineering Princeton University School of Engineering and Applied Science invites applications for postdoctoral
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, Atmospheric and Oceanic Sciences, Geosciences, Computational Science and Engineering, or a related area is required.The position will involve developing models and algorithms for the evolution of inorganic
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML
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recordings from human epilepsy patients and non-human primates are conducted using identical behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral
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: 280363223 Position: Postdoctoral Research Associate Description: The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more senior, research positions. The term
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University invites applications for the Gilbert S. Omenn, MD. '61 and Martha A. Darling *70 Postdoctoral Fellowship Program. This opportunity is intended to foster the recruitment of exceptional postdoctoral
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for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges