1,349 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Nature Careers
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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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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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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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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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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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of Excellence. A willingness to acquire externally funded projects, supervise doctoral candidates, and engage in interdisciplinary collaboration is required, as is an active commitment to open science practices
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and names and addresses of three referees and be send by e-mail until April 11st 2026 to Prof. Christoph Wilhelm (christoph.wilhelm@uni-bonn.de ). Webpage: https://www.ukbonn.de/en/icccp/research