13 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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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 Rasmussen Group focuses on development and application of computational algorithms such as machine and deep learning for analysis and integration of multi-omics and multi-modal data within cardiometabolic
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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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microenvironments, molecular biology, and with experience in, or interest in learning, basic computational biology methods. Candidates must be able to perform as part of a team as well as independently, and must have
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enthusiastic to acquire, apply and advance their scientific skills within a dynamic international team. Our group and research- and what do we offer? The Quantum Optomechanics group at the Niels Bohr Institute
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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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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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, 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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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