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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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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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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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background in at least one of the following areas: Biomedical Engineering, Biomedical Informatics, Biostatistics, Computer Science, Electrical and Computer Engineering, Mathematics, or a related field. The
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of others to meet project goals while advising stakeholders on data strategies and best practices. What you bring: Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a
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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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advising stakeholders on data strategies and best practices. What you bring: Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field with 3+ years
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, bioinformatics, statistical genetics or applied mathematics and an experience in analysis of big data, genetics, and modern “omics”. The post holder with contribute to investigations on molecular underpinnings