14 big-data-and-machine-learning-phd PhD positions at University of Copenhagen in Denmark
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We are offering a PhD fellowship in large animal translation cardiovascular medicine commencing 15 October 2025 or as soon as possible hereafter. The Department Department of Veterinary Clinical
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your research findings Participate in day-to-day supervision of students Teach and disseminate your knowledge Write a PhD thesis and defend your PhD work at a public PhD defence. Key criteria
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Faculty of Health and Medical Sciences, University of Copenhagen Cluster for Molecular Imaging at the Panum Institute, University of Copenhagen, is seeking a PhD for a project where the aim is to
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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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involves the use of quantum chemistry, machine learning, and genetic algorithms to search for new homogeneous chemical catalysts. Who are we looking for? We are looking for candidates within the field
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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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-process/ . Questions For specific information about the PhD fellowship, please contact the principal supervisor. General information about PhD study at the Faculty of SCIENCE is available at the PhD
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PhD plan (1-2 pages) Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position Original diplomas for Bachelor of Science or
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thereafter. The project The PhD project is mainly based on data from the Generation Healthy Kids project, a large-scale 2-year school- and community-based multi-component, multi-setting intervention among
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the Pharmaceutical Sciences bridging Health Sciences and Life Sciences. Information about the Department can be found at https://drug.ku.dk/ Job description Your key tasks as a PhD student at the Faculty of Health and