1,365 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Nature Careers
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visually-guided decision-making in the fruit fly, Drosophila melanogaster . More information about Dr. Card and the lab’s research can be found by visiting https://www.hhmi.org/scientists/gwyneth-card About
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much on continuous learning and improvement. You work with colleagues across procurement, business and the wider Roche organization to broaden knowledge and expertise, better understand customer needs
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and innovative thinking. We nurture tomorrow’s global leaders through Inspirational Learning, Interactive Learning and Innovative Learning. Applications and nominations are invited for : Head of
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, enabling innovative applications and translational research. We seek exceptional candidates with strong expertise in the fields of genome editing and cellular immunotherapy (CAR-T cells, NK-cells
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of Europe.Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage internationally.Candidates can
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human behavior in the usage of information technology. For this purpose, the group applies methods from reinforcement learning, explainable AI, natural language processing, and lab experiments
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, morphological, and physiological levels. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and
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statement describing your teaching philosophy, current contributions, and your plans for future contributions (up to 3 pages) https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Novena-Campus-Singapore
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analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within