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Applied Machine Learning: Knowledge of integrating machine learning models and algorithms into applications. • A knowledge of applied computer science and AI in software/app development and rapid prototype
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researcher who has recently completed a PhD in Chemistry, Biochemistry or close to completion or related field and expertise in computational chemistry, molecular simulation and machine learning. This project
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algebra; but outstanding candidates in any area of mathematics will be considered. Candidates must have a PhD in mathematics by employment start date. Candidates will teach undergraduate and graduate
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SMDR. About you To be successful in this role you will be able to demonstrate the following: A PhD in a relevant subject area. Extensive lab experience, preferably with catalytic reaction systems. Prior
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Knowledge of machine learning or multi-omics data integration would be highly desirable Essential Application/Interview Deep interest in musculoskeletal research and translational science Essential
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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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: 30057201; Nature Genetics, in press) and has pioneered novel machine learning approaches for analyzing genomic data (e.g., bioRxiv 517565). The Kübler Lab is integrated into the extensive Berlin research
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enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build
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associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated
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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour