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Field
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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Postdoctoral Associate — Bioinformatics and Data Science - Stites Laboratory The Stites laboratory utilizes a variety of computational, mathematical, and experimental methods to study problems in
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, mathematics, and innovation. Candidates must hold (or be close to completing) a Ph.D. in Applied Mathematics, Electrical or Mechanical Engineering, Physics and Applied Physics or a related field. Working in a
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Summary The Post-Doctoral Fellow provides time-limited individual and group counseling, crisis intervention, and outreach services to a diverse student population. The position also supports university-wide health and wellness initiatives, with a specific focus on outreach to historically...
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epidemiological modeling. Prior experience with mathematical modeling of vector-borne disease and gene drive control systems. Knowledge, Skills, and Abilities Programming skills in R or Python. Ability to work
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calculus, linear algebra, probability and statistics, and possess strong proficiency in mathematical thinking and abstract reasoning. Cellular, biochemical, molecular experimental skills Experience working
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/computer science and information systems, computer science/computer science and information systems, and B.S. in mathematics/M.S. in mathematics. To implement its academic programs, the college provides instruction
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molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems