101 high-performance-quantum-computing Postdoctoral positions at Princeton University
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*Soft and Living Materials *Natural and Engineered Materials for Energy, Environment and Sustainability *Optical Materials and Light Matter Interactions *Quantum Materials Science The term of appointment
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research positions. Applicants with experience in the following areas are encouraged to apply: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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package 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
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The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a postdoctoral or more senior researcher interested in computational materials design and
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Quantum Systems initiative (EPiQS) The initial appointment will be for one year, with the possibility of renewal up to three years conditional upon satisfactory performance. Ph.D. is required; outstanding
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are encouraged to apply: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed
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The High Meadows Environmental Institute (HMEI), (https://environment.princeton.edu/) invites applications for postdoctoral research associates and more senior research positions focusing
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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scales. Specifically, the researcher will join a team of energy modelers at the Andlinger Center and partner institutions to couple a global integrated assessment model with a high-resolution subnational