13 phd-in-computer-vision-and-machine-learning PhD positions at University of Copenhagen in Denmark
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of computational chemistry. Applicants can have a background from cheminformatics including RDKit, machine learning applied to chemistry, and molecular modeling Our group and research- and what do we offer? Our
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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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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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The PhD programme is 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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written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and
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“Quantum Quenches from Quantum Fields” at the Niels Bohr International Academy (NBIA) at the Niels Bohr Institute (NBI) requests expressions of interest for a PhD position in theoretical high energy physics
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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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, Section for Environmental Chemistry and Physics, jch@plen.ku.dk , phone: +4535332456. The PhD programme Depending on your level of education, you can undertake the PhD programme as either: Option A: A
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of Health and Medical Sciences. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. The PhD student is
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PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. in Human