128 computer-science "https:" "https:" "https:" "https:" PhD positions in United States
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Qualifications Doctoral degree in statistics, biostatistics, computer science, applied mathematics, or a related quantitative field. Excellent programming skills, as well as strong oral communication
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Qualifications Doctoral degree in statistics, biostatistics, computer science, applied mathematics, or a related quantitative field. Excellent programming skills, as well as strong oral communication
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science, data/computer science, mathematics, etc with a strong in terest in interdisciplinary thinking and data science applied to pharmacy . Please note that your master’s degree must be equivalent to a
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Department of Computer Science (DIKU) invites applicants for PhD fellowships in Computer Science. This project is a part of the project “Differentiable Realism from AI and Modeling” (DREAM) financed
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Description The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a
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Description The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a
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qualifications Earned doctorate in Manufacturing, Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related discipline by the time of appointment. Evidence of excellence in
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engineering, civil engineering, computer science, electrical engineering, data science, etc.). · Demonstrated research experience (≥1 year) in transportation engineering or related areas
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Sauer Jørgensen ( [email protected] ), Department of Applied Mathematics and Computer Science, Technical University of Denmark. You can read more at https://www.compute.dtu.dk/ . If you are applying from
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Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras