902 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" uni jobs at Nature Careers
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approaches. Structural Biology Selected candidates will primarily use cryo-electron microscopy to study macromolecular machines, with a strong focus on mechanistic studies, including protein–nucleic acid
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Assistant professor position (non-tenured) in molecular dynamics simulations of plant hormone tra...
) is supported. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information
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at: https://utah.peopleadmin.com/postings/194715 For additional information, contact: Jason P. Hunt, MD, MS, FACS Professor and Chair Department of Otolaryngology – Head and Neck Surgery University of Utah
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Faculty Positions, Aging and Neurodegeneration, Westlake Laboratory of Life Sciences and Biomedicine
community in the practice and teaching of science. Successful candidates will be expected to establish a vibrant research program, teach graduate and undergraduate courses, and participate in other academic
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on the lab: https://www.pdn.cam.ac.uk/directory/ewa-paluch and https://paluchlab.uk Fixed-term: The funds for this post are available for 2 years in the first instance. To apply online for this vacancy and to
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at the University of Vienna and integrated into the Gravitational Physics group (https://gravity.univie.ac.at/), an active research unit engaged in fundamental theoretical questions of gravitation. The group includes
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: https://ie.univie.ac.at/en/ Your academic profile: Doctoral degree/PhD Two years of international research experience during or after doctoral studies Outstanding research achievements, excellent
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at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding
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process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support process and
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learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit