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/UKEN-1573.html?&pracid=202502-PD-MFF-KFKL-109 . Contact: Dominik Safranek Email: Postal Mail: Department of Condensed Matter Physics Charles University Faculty of Mathematics and Physics Ke Karlovu 5
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Qualification requirements A master’s degree in a relevant discipline (e.g., statistics, mathematics, informatics, genetics, medicine, psychology, or an equivalent field). Strong expertise in statistical genetics
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, computer science, mathematics, or statistics or related field. The BarabásiLab is seeking motivated individuals with an interest in exploring complexity and its applications to food, art, science, and medicine from
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performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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Sciences (14 ) Life Health and Medical Sciences (48 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (28 ) Age: Must be 18 years
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ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment. The successful candidate will be joining the Medical Optics research group led by Prof. Turgut...
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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working with genomics data sets. Prior experience working on high performance computing clusters. Prior experience with statistical and mathematical modeling and/or AI. Type Benefited Staff Special
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Computational Biology, Machine Learning and Deep Learning for Computational Biology, Computer Science, Applied Physics and Mathematics, or a related field. - Strong background in protein modeling, structural