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: 275950536 Position: Postdoctoral Research Associate in Microfluidics, Nanofabrication, and Nanophotonics Description: The Department of Electrical and Computer Engineering has opening for postdoctoral
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The Skinnider Lab at Princeton University aims to recruit a postdoctoral fellow or more senior researcher to work on projects related to computational analysis of chemical and biochemical datasets. A major focus will be on the identification of small molecules from mass spectrometry-based...
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letters, and 4) a sample publication (ideally sole authored, or first authored). The submission must be online via the Princeton Academic hire sit. The review process will begin immediately and will
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The Joseph Research Group at Princeton University is searching for postdoctoral candidates interested in computer simulation studies of intracellular spatiotemporal organization, biomolecular self
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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to ion beams with well-controlled energies and incident angles for benchmarking and validation of theoretical calculations and computational physics and chemistry modeling of important surface processes
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Princeton University, Skinnider Lab Position ID: Princeton University -Skinnider Lab -PDRA [#30158] Position Title: Position Location: Princeton, New Jersey 08544, United States of America [map ] Subject Areas: Machine Learning / Machine Learning Analytical Chemistry / Current Advances in...
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The Department of Electrical and Computer Engineering has opening for postdoctoral research positions in the following fields: 1. Microfluidic and Lab-on-Chip development in a multidisciplinary lab
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the lecturer salary during a teaching semester will be calculated based on a nominally higher rate of pay. This position is eligible for medical benefits. This position is subject to the University's background
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patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics of squamate reptiles; the largest group