523 programming-"the"-"DAAD"-"EURAXESS"-"Prof.-Dr"-"IMPRS-ML"-"CSIRO"-"U.S" positions in Denmark
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at the Faculty of Humanities is dedicated to the study of human societies past and present, with degree programs ranging from History to Archeology, Ethnology, Classical Languages and Migration Studies. PhD
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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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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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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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of Mathematical Sciences has three study programs: Mathematics (including a specialization in statistics at the master level), mathematical economics, and mathematics-technology. Teaching undertaken in
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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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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of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD
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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