1,573 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions 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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whose research addresses migration and its interrelations with human capital formation. Applicants should be able to teach all the main areas of demography from an international perspective and
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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The Center for Molecular Bioengineering ( B CUBE) ( https://tu-dresden.de/cmcb/bcube ) and its partner institutions, the Biotechnology Center (BIOTEC) and the Center for Regenerative Therapies
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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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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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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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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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information, please visit our website: https://ekfs.de/en/current-topics/call-for-proposals/else-kroner-excellence-grants-2026