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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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support staff, and allied faculty researchers. Uses computers and technical equipment to perform data analysis, statistical analysis, and technical evaluation of air quality, weather, and related data
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diseases including coarctation of the aorta. This work will involve processing of medical image data, creation of idealized and subject-specific computational models, and/or implementation of a computational
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 24 days ago
(bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees Location Campus
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-Year Scholar Program participants. DEPARTMENT SPECIFIC KNOWLEDGE, SKILLS, AND ABILITIES*: ¿ Familiarity with IRB processes and ethical conduct in human subject¿s research ¿ Proficiency in biomedical
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine