275 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" Postdoctoral positions in United States
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experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core
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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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Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural evolution of metal alloys during
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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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) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform
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the following are required: • Excellence in structural biology • Excellence in programming and high-performance computing • Excellence in bioinformatics • Excellence in evolutionary theory Additionally
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) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance computing environments. Prior programming experience is preferred but not required. The postdoctoral scientist will design
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science, or a related area. Strong background in statistical theory for high-dimensional data. Computational skills in R and/or Python (ability to develop user-friendly codes). Strong written and oral
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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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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
efforts at ARC are focused on understanding the structure-property behavior of ceramic materials in high thermal gradient environment with implications on manufacturing and system performance. Relevant