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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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, biomedical engineering, applied mathematics, or related field. Working in team science. Desired Qualifications* The ideal candidate will have demonstrated experience in physical modeling of biological systems
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the NIH Center to iteratively refine learned models. Qualifications: • Ph.D. in applied mathematics, computational science, statistics, machine learning, or related quantitative field. • Proficiency with
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, bioinformatics, applied mathematics, biomedical engineering, electrical engineering, or a related field Contract: 1 year + 1 year extension (subject to positive evaluation of the previous 1 year term) Occupancy
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room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied mathematics, or a related area. The
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, Artificial Intelligence, Applied Mathematics, Systems and Control, Mechanical/Electrical Engineering, Bioinformatics, Biocybernetics, or a related discipline. Minimum of one year of experience as a
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science, computational chemistry / biochemistry, applied mathematics, or a related area. The ideal candidate has strong familiarity with several of the following subjects: algorithmics, mathematical modelling, graph
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strong background in statistics and mathematics as applied to medicine and biology. The ideal candidate holds a doctoral degree in a quantitative discipline (e.g., Applied Mathematics, Applied Statistics
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impairment across tissues and brain regions. The ideal candidate will have a quantitative background (bioinformatics, computational biology, biostatistics, statistics, computer science, or applied mathematics
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