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Community Care, at Steno Diabetes Center Copenhagen in Herlev. Principal supervisor is Associate Professor Camilla T. Damsgaard, Department of Nutrition, Exercise and Sports, ctd@nexs.ku.dk Co-supervisor is
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UV technology. The PhD candidate is required to have a masters degree in Chemistry, Chemical Engineering, Environmental Engineering or a closely related field. Candidates are expected to be fluent in
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of their master’s degree are also encouraged to apply but have to complete the master before starting the fellowship. Motivation and potential for research activities. Ability to work independently and in a team. Be
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soon as possible thereafter. The workplace is the SDU Campus Odense in Denmark, with some travel required within Denmark. Mastering the Danish language at a proficiency level is a requirement
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of original Master of Science diploma and transcript of records in the original language, including an authorized English translation if issued in other language than English or Danish. If not completed, a
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combining physical and ML approaches. Test, validate, and integrate developed solutions in real industrial environments. You must have a two-year master's degree (120 ECTS points) or a similar degree with an
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international research environment hosted by the NNF Quantum Computing Programme (NQCP) at the Niels Bohr Institute, University of Copenhagen. Principal supervisor Jan Westenkær Thomsen The PhD programme
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of 3 years, to individuals who hold a Master's degree. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and
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predictive maintenance models combining physical and ML approaches. Test, validate, and integrate developed solutions in real industrial environments. You must have a two-year master's degree (120 ECTS points
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-year master's degree and with an interest in simulation and machine learning. This position is funded under the DTU-JRC Collaborative Doctoral Partnership. Responsibilities and qualifications Your