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Field
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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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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 6 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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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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; funding for doctoral and postdoctoral researchers; a highly interdisciplinary environment involving computer science, medicine, immunology and systems biology; opportunities to develop national and
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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
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. Candidates will be considered from a variety of disciplines, including computer science, economics, sociology, political science, international relations, political economy, communications, public
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pretraining approaches that enable GeoFMs to generalize more effectively across a broad range of real-world EO applications. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science
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and prepare your doctoral thesis Your Profile Your qualifications and technical background include: An excellent master’s degree or equivalent in computer science, data science, applied mathematics
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. Your qualifications You have graduated at Master’s level in computer science and engineering, applied mathematics, applied physics, or electrical engineering, or completed courses with a minimum of 240