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represents a major bottleneck for the study of complex catalytic interfaces. Objectives The objective of this PhD project is to develop data-efficient machine learning strategies to study CO₂ hydrogenation
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The University of Vienna is internationally renowned for its excellence in teaching and research, and counts more than 7,500 academics from all disciplines. This breadth of expertise offers unique
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, the Department of Physics has been offering graduate programs with MS and PhD degrees in Physics with emphasis on Nuclear and Optical Physics. A new emphasis is being added on Plasma Physics and Fusion Science
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establishing yourself in the field. Candidate Profile: A PhD in Power Electronics is desirable or a minimum Masters level qualification with some industry experience (both in power electronics). Skills
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develop technologies and biotechnologies to break them down. http://www.recetox.muni.cz/en/career/career-at-recetox The PhD student will be employed in Loschmidt Laboratories , one of the leading protein
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performance of other duties. Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to Assoc. Prof
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tradeable points can be used under the rules. Information on other visa options is available at https://www.gov.uk/check-uk-visa . Please do not hesitate to contact Grant Rae, HR Adviser (e-mail: grant.rae
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offers BS, MS, and PhD degrees in Computer Science. Instruction is provided by 16 tenure track faculty, 2 emeritus faculty, and 6 career instructor faculty. The department serves approximately 600
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RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared training activities, and supervision by
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-term impact Essential Application/Interview Computer programming skills and the ability to effectively manage and process experimental data Essential Application/Interview Strong and relevant publication