541 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"Prof.-Dr"-"CSIRO"-"U.S" positions in Denmark
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sustainable and resilient agricultural systems. The research team you will join is coordinating an international program that brings together leading scientists from around the world to investigate beneficial
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involvement in teaching in animal science and in the veterinary science programme. Research-based consultancy to authorities, where it is relevant. Who we are Department of Animal and Veterinary Sciences is
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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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achievements that demonstrate the ability or potential to produce high quality research outputs and publish in journals. A personal research plan which is consistent with the project. Experience, skills and
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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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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