24 high-performance-computing Postdoctoral positions at Princeton University in United States
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: 267200160 Position: Postdoctoral Research Associate or More Senior Researcher Description: The postdoctoral track of the CITP fellows' program is for people who have recently received or are about to receive
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development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and
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-to-Decadal Variability & Predictability Division, Technical Services and Modeling Systems Division. The selected candidate will have access to state-of-the-art numerical models and high-performance computing
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Type: Full-Time # of Openings: 1 Category: Health Services Overview A fully accredited facility, University Health Services (UHS) at Princeton University provides responsive, high quality clinical
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value to participate in other ongoing projects in the lab. Experience with the design, construction, and operation of high-vacuum instruments and chambers, including those for PVD, PLD, and RIE, is of
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The Princeton Precision Health Initiative (PPH) at Princeton University was established to transform human health and health policy and improve health equity and outcomes. Many high impact areas of human health
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. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing, thermal management, and energy conversion. We seek
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Princeton University is seeking one (or more) postdoctoral or more senior research associates to work with the Princeton Institute for Computational Science and Engineering (PICSciE) and the High
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine