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Field
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candidate selection or drug product development using knowledge of GI physiology, drug molecular attributes, and drug product excipients. The candidate will participate in the Biopharmaceutics cross
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computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software
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institutions. This recruitment does not include applicants for our GI/Liver fellowship. For those interested in GI/Liver fellowship, please see separate recruitment https://recruit.apo.ucla.edu/JPF09553
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to have exceptionally strong backgrounds in GIS, computational science and expertise in other sciences (biology, ecology, physics/engineering, etc.) and programming (e.g. R, Python, etc.). The successful
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training areas: Disease site specific Proton Therapy (CNS/BOS, HN, Thoracic, Breast, GI, GU, GYN); SRS (Linac and Gamma Kinfe); SBRT; Brachytherapy (Prostate LDR and HDR, Gyn); Hyperthermia; GammaPod
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statistics. Knowledge/Skills/Abilities A high level of skill in GIS, computer modeling, data analysis using SAS. Good working knowledge of programming languages VB, R, or Python. Knowledge about coastal