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rooms, a rooftop observatory, and high-performance computing clusters and petabyte-scale data storage. The Center for Astrophysical Sciences forms one of the largest astronomy communities in the nation
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single cell sequencing data and high-performance computing environment is highly preferred. A good understanding of cancer biology, immunology, cell biology, and molecular biology is also preferred. Proven
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Sciences Division (CSD), Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). The postdoc will perform molecular dynamics simulations, statistical mechanics (e.g., rate theory) and
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for phytoplankton in coastal ecosystems. Proficiency in R, Python, and code documentation/metadata creation. Experience with high-performance computing. Experience with time series and/or spatial analysis, and
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computational, experimental, observational, and theoretical approaches. Existing research programs at KIPAC span many areas of astrophysics and cosmology and include studies of dark energy and cosmic dynamics
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that houses advanced 3T human and 9.4T preclinical MRI scanners, both equipped with ultra-high-performance gradient systems. Qualifications: Applicants must hold a doctoral degree, preferably a Ph.D. in
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the developmental origins of cortical state regulation. To accomplish these goals the lab uses state-of-the-art extra-cellular electrophysiological techniques—including high-density, high-channel count (NeuroPixel
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-environment interaction studies. Excellent communication skills and ability to work both independently and in a collaborative, multidisciplinary environment. Experience with high-performance computing and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
-performance computing, C/C++, and pre-existing codes for stellar dynamics (e.g. NBODY6, PeTar), stellar evolution (e.g. MESA), or population synthesis (e.g. COSMIC, COMPASS) are also considered a plus. Special
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scientific conferences and publish models and scientific insights in high-impact journals Who You Are: Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field