133 programming-"the"-"DAAD"-"IMPRS-ML"-"Virginia-Tech"-"U"-"U.S" PhD positions in United States
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to strengthen their research experience before pursuing a Ph.D. program. Opportunities may be available for the candidate to continue as a Ph.D. student in the lab. The successful candidate will contribute to two
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. Knowledge, Skills & Abilities : Strong programming skills (Python required; Java/Android or App Inventor experience desirable). Familiarity with statistics and machine learning methods. Interest in
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comprehensive benefit program to eligible employees. Please see this link for more information.
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comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees
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computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore highly desired Excellent communication skills and fluency in English Offer The VIB-UAntwerp
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complete) an M.Sc. (or equivalent) in Computer Science or a related discipline ML expertise: You have strong programming and deep learning experience (e.g., PyTorch, TensorFlow), backed by a substantial
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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equality plan and the cascade model measures, which we actively implement to enable sustainable equal opportunities in academic career paths. We are thus committedly strives for gender equality in science
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
rational approaches to drug therapy regardless of the area of clinical specialization. The graduate program through the Ph.D. in Biomedical Sciences, Pharmacology and Toxicology Concentration, is broadly
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including