272 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Postdoctoral research jobs in Sweden
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or relevant topics be result-oriented and have high level of motivation and will to face challenges and conduct systematic research to solve them, if necessary, by learning/adopting new techniques/theories
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, the University contributes to a better future. The Department of Marine Sciences, University of Gothenburg, (https://www.gu.se/en/marina-vetenskaper ) combines extensive scientific competence with unique
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the Wallenberg Centre for Quantum Technology (WACQT), a 10-year initiative launched in 2018 to advance Swedish academia and industry in quantum technology and to build a Swedish quantum computer. In our research
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who completed their doctoral degree before that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organizations, military service
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in full-text format) Only documents written in Swedish, English, Norwegian and Danish can be reviewed. More information for applicants will be found on our career site: https://www.oru.se/english
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and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational
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Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work
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are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives
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. You are expected to learn to develop your own scientific concepts and communicate the results of your research verbally and in writing. Your research activities will contribute to enhanced knowledge in
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, funded by Kempe fundation is full-time for two years with access may 2026 or by agreement. Departmental specific information The research group led by Jonas von Hofsten (https://www.umu.se/en/staff/jonas