110 Computer-Science-"https:"-"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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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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email [email protected] . Applications will be reviewed on a rolling basis. Basic Qualifications A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment
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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
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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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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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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 17 hours ago
computational modeling (dry lab) or experimental bench work (wet lab), and hold (or will hold by September 2027) a master’s degree in computer science, computational biology, bioengineering, engineering
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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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Qualifications Ph.D. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and