11 parallel-computing-numerical-methods PhD scholarships at University of Copenhagen in Denmark
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We are seeking an outstanding candidate for a PhD fellowship in the field of computational fluid and solid mechanics. The fellowship will start on September 1st, 2025, or as soon as possible after
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group is focused on developing new computational methods for the prediction of chemical reactivity. The group is a part of Department of Chemistry, Faculty of SCIENCE, University of Copenhagen. We
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teamwork with other local consortium members in the capital region of Denmark and with parallel international collaborators in the UK. In addition, collaboration with other NIVI-R human challenge sites will
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refine bulk and advanced analytical methods for the detailed chemical characterization of bio-oil feeds and upgraded products. The analysis will focus on GC-based characterisation available at Topsøe but
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen
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more than 1300 Danish 6-11-year-old children. This included food and nutrition intervention components in the form of a school lunch programme, activities in the local supermarkets and SFO and practical tools
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may employ optional methods, such as quantitative and/or qualitative approaches, discourse or narrative analysis. Selection criteria will emphasize projects with a historical focus on one or more of the
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collaboration, as part of the employment process at the University of Copenhagen. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme
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. The PhD programme A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree
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psychedelic sessions with Danish research participants is part of the tasks associated with the position. Introduction The PhD programme provides PhD students with strong research training which opens up a