582 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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basic science to its effective translation for preventing or alleviating disease. Candidates for this joint appointment should have research interests focused in computational immunology/AI/Machine
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network, who spearheads advancements in AI/Machine Learning, Data Science, Environmental Intelligence, Innovations in Health Sciences, Policy Development and Sustainable Societies. THE POSITION Faculty
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference
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, joining a team of dedicated computational researchers with diverse expertise ranging from structural bioinformatics to machine learning and AI. Your primary mission will be to work with other groups and
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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for learning and growth, you can shape a career path that is right for you while also enjoying all the benefits and stability of working for a world-class institution. This includes work-life balance with
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, machine learning, and causal inference frameworks that link genetic variants to cellular mechanisms and therapeutic opportunities. Our research spans immune biology, cardiac disease, neurodegeneration, and
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candidates would have direct experience with several of the following methodologies: optogenetics, fiber photometry, in vivo calcium imaging, and/or machine-learning-based behavioral assessment. Additionally
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computational tools (e.g. machine learning, artificial intelligence or other approaches) are also encouraged to apply. You will teach pharmacology-related courses in the Bachelors of Life Sciences, Medicine
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Postdoc (f/m/d) Leader of Junior Research Group "WEEE-Recycling" / Completed university studies (...
-hand experience in the application of machine learning, simulation and modelling concepts in resource technology # Proven track record of interdisciplinary collaboration along the value chain of raw