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for Education Policy Analysis (link is external) and the Education Data Science (link is external) program) develop cultural competencies (via events organized by the Race, Inequality, and Language in Education
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analytics, gene-phenotype discovery, and clinical innovation. The HGSC is funded from multiple National Institutes of Health sources, including the All of Us Research Program as a Genome Center, the Gregor
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements: Doctoral degree in a quantitative discipline such as computer science
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software engineers within the Computer Science and Mathematics Division, providing an opportunity to work in a stimulating multidisciplinary environment. Major Duties/Responsibilities: Perform neutron
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to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of â˜omicsâ™ datasets. Hands-on experience
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Renewable Energy (EERE), the Grid Deployment Office (GDO) and the Office of Indian Energy (IE). The program is managed by the Oak Ridge Institute for Science and Education (ORISE). During the appointment
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: Epidemiology, Biomedical Informatics, Biostatistics, Public Health, Computer Science, Health Services Research, or a related discipline Strong quantitative and analytical skills, with proficient programming
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• Familiarity with operating HPC clusters (e.g., bash, Python) Preferred Qualifications • HPC programming skills (e.g., modern Fortran or C/C++) • Parallel programming skills (e.g., OpenMP, MPI, OPENACC, CUDA
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natural sciences Experience with scientific programming and Unix operating systems Experience with various programming languages, including C++, Python and Matlab Ability to work with large datasets