223 high-performance-quantum-computing Postdoctoral positions at Princeton University
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and novel 2D quantum materials including unconventional superconductors. The successful candidate must have substantial experience in state-of-the-art ARPES and/or low temperature STM/STS techniques
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position to work on a new collaborative project in a team with expertise in plasma and plasma-surface interactions, surface science, and quantum metrology. The overall goal of the project is to develop
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and Engineered Materials for Energy, Environment and Sustainability*Optical Materials and Light Matter Interactions*Quantum Materials Science The term of appointment is based on rank. Positions
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and Engineered Materials for Energy, Environment and Sustainability*Optical Materials and Light Matter Interactions*Quantum Materials Science The term of appointment is based on rank. Positions
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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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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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experience in the following areas are encouraged to apply: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics
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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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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi