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Field
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QUALIFICATIONS: ● Ph.D. in statistics, applied mathematics, computer science, engineering, or a related data science field by the date of appointment is required. ● Demonstrated commitment to high-quality research
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transit as well as Gaia/LSST discoveries. Indiana University also provides excellent research computing resources (high-performance computing clusters, large-scale storage, and advanced visualization
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in vivo tumor and radiation experiments in murine models · Performing high-dimensional immunophenotyping, transcriptomics, mouse colony management, and molecular biology assays · Collaborating
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microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with ELISA techniques. Demonstrated fieldwork experience in community
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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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the Rutgers High Performance Computing infrastructure. The results of the research will be submitted for publication in a scientific journal. Preferred Qualifications Equipment Utilized Physical Demands and
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Mathematics, or a related field, awarded within the last five years Programming experience in one or more of Python, C++, Fortran, or Julia Knowledge of high-performance and parallel computing Experience
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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, and leveraging high-performance computing resources; * Contribute to the spatial downscaling of NASA observations (e.g., atmospheric, surface, aquatic, and land cover variables) by evaluating both
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or