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-certification, and redeployment, as well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally...
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, Evolutionary Biology , Immunology , Infectious Diseases , marine biolog , Mathematical Modeling , Microbiology , Neurobiology , Neuroscience , Systems biology , virology Physics / Biology , Biological Physics
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14853, United States of America [map ] Subject Areas: Nutrition Data Science Epidemiology Public Health Medicine (more...) Bioinformatics / Clinical , Computer Science , Mathematics , statistics Salary
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sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results. National Centre
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methods to advanced imaging techniques. Currently, a number of mathematical models exist to describe the onset and progression of Alzheimer's Disease and the effects of anti-amyloid therapies on disease
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undergraduate students). Additional duties as assigned. Minimum Qualifications Must have completed all the requirements for a PhD. in physical science, mathematics/ data science, or engineering at the time of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
, mathematical, and computational techniques. Experience leading and conducting these genomics experiments and performing research in inflammatory bowel diseases, intestinal, or immune-related diseases is highly
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data