60 programming-language-"HT---Human-Technopole" Fellowship positions at Nature Careers
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Postdoctoral Fellowship in AI and Large Language Models for Transforming Pediatric Healthcare The Computational Health Informatics Program (CHIP) at Boston Children's Hospital, affiliated with
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Applications must be written in English and submitted via the online portal of the Jožef Stefan Institute for the SQUASH program before the application deadline: https://join.squash.ijs.si / The portal requires
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ROSETTA is an innovative fellowship programme co-ordinated by the University of Galway and will involve four other universities (Implementing Partners): University College Cork , University College
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Research Fellow - NIH T32 Clinical Pharmacology Training Program A position with Mayo Clinic's - NIH T32 Clinical Pharmacology Training Program led by Drs. Liewei Wang and Richard Weinshilboumis
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Postdoctoral Research Fellows Air Force Science & Technology Fellowship Program The National Academies of Sciences, Engineering, and Medicine maintain a database of more than 300 research
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program on DNA-encoded Chemistry funded by the Novo Nordisk Foundation and involves several research groups from SDU. The PhD fellowships are at the Nucleic Acid Center, SDU and available in the group
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, or ensemble models (e.g., XGboost). Proficiency in programming languages commonly used in data analysis, such as R, Python, or C++ (or similar). Strong communication, collaboration, and presentation skills
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2-year Postdoctoral Research Fellow position with focus on Cryptography at Computer Science Aarhu...
of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list
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English. Demonstrated ability to work independently, set research objectives, and meet deadlines. Willingness to travel for collaboration and dissemination (Europe and beyond). Desirable Criteria Industrial
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but not limited to mathematical statistics, statistical inference, and linear regression. 2. Strong computational skills: • Proficient in programming languages R, Python, and Shell, has extensive usage