583 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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to advance applications of protein design. You will be working alongside internationally recognized scientists who are leaders in such disciplines as AI/machine learning (Dr. Madan Babu), NMR (Dr. Charalampos
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machines into the cellular context in space and time, how stress factors influence these processes, and how the cellular network enables their robust functioning. Research Focus 3 Microbes providing
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Job Description The Assistant Professor of Instruction will teach graduate-level courses with an emphasis on active, student-centered learning strategies. This position will be responsible
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. Interdisciplinary collaboration is central to our culture. BCE maintains strong partnerships across Aarhus University, including with the Departments of Mechanical Engineering, Electrical and Computer Engineering
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development allowance, research allowance, a personal computer for use during the fellowship, tuition assistance, dependent care assistance, moving allowance, an employer-contributed retirement savings plan
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the postgraduate research environment, including leadership in doctoral training. - Deliver inclusive and effective teaching and develop innovative learning methods. - Create and promote curricula to attract diverse
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, proliferation, and evolution. To strengthen our expertise in bioinformatics and machine learning, we are offering a position for a highly motivated scientist with significant experience in bioinformatics, ideally
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on photon/proton treatment machines, imaging systems, and patient-specific quality assurance, including the collection and processing of treatment-related data. Assists in maintaining physics equipment and
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functions in different neurological disorders Teach students about clinical and research aspects of neurodegenerative disorders Present at public events for information of lay public or medical professionals
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, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics