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. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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to Sriram V Pemmaraju at sriram-pemmaraju@uiowa.edu . Education Requirement: A PhD or equivalent in Computer Science (CS) or related fields such as applied mathematics, statistics, or operations research is
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are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from the biological sciences should have experience with scientific programming. Ideal
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for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering
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cytoskeleton in cellular membrane bending and trafficking. We utilize a blend of mathematical modeling, genome-editing in human stem cells, and fluorescence microscopy. Our projects aim to elucidate
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, essential for understanding systematic effects. The successful candidate for this position will join a small team of PhD and post-doctoral researchers working to develop SBECs as detectors
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: Postdoctoral Researcher - College of Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 202-Civil and
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or others). Aim for apply for funding sources (DGF, BMBF, Bavarian and TUM funding) to strengthen your carrier. 2-years full-time, with option to extend (max 4y). Requirements A PhD or equivalent and a solid
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experience (possibly as part of the PhD) in a field related to mathematical analysis of partial differential equations (PDEs), calculus of variations, optimal control, who is willing to engage in innovative