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For more information, please see Criteria for evaluating Candidates Please refer to the tenure track guidelines for the tenure review criteria and for the tenure review process. Research plan It is required
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. Accordingly, we require documented skills within theoretical and applied statistics and the ability to program in R. Also, the applicant should have the ability to communicate research findings in teaching
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Two Senior Innovation Coaches (specialkonsulent) for Early-stage Medical Technology Innovation Teams
BioMedical Design Novo Nordisk Foundation Fellowship Programme, Department of Clinical Medicine at the Faculty of Health, Aarhus University, invites applications for two positions (one in Aarhus and
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Hours Per Week 37 Offer Starting Date 15 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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program, and to teach modules at other bachelor and master programs offered at the Faculty of Health Sciences as well as to mentor undergraduate and PhD students. Candidates with the following competencies
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Research Framework Programme? Horizon Europe - MSCA Reference Number DC6 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer
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Rossmeisl, Department of Chemistry, Jan.Rossmeisl@chem.ku.dk , Direct Phone: +45 5071 9584 The PhD programme Qualifications needed for the regular programme (5+3) To be eligible for the regular PhD programme
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will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an ambitious group that fosters collaboration, research excellence, and quality education. The
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the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof