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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 | 27 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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will primarily work on a project related to deep soil processes. Our research program explores diverse areas, such as soil organic matter dynamics in natural ecosysstems undergoing rapid transformations
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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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statistics (desirable but not required) Strong statistical computing skills in R and SAS Excellent writing and communication skills Duke University is an Affirmative Action/Equal Opportunity Employer committed
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of Neurosurgery, Psychiatry, Neurology, and Neuroscience at BCM as well as the Department of Electrical and Computer Engineering and Neuroengineering Initiative at Rice University. Job Duties Decodes
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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
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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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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover