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logical coherence in the formulation of the aim and the research questions stringency of legal reasoning and analysis adequate selection of methods and theory capacity for creativity and innovation in
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collaboration with the co-supervisors and their labs, the project will also involve the use of these methods (and methods developed by others) for applications in infection biology, chiefly for designing
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concepts, aerothermal turbomachinery design, and aeroacoustics. We have a strong national and European network and you will use and master both the state-of-the-art and novel numerical design tools at GKN
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transform our understanding of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis
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Limit of tenure, four years according to HF 5 kap 7§. The proposed start date is October 1st, 2025, or as agreed. How to apply Applications are to be submitted via the University’s recruitment system
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to the research project at hand, having very good skills in discourse analysis, as well as an orientation in digital politics, are key requirements. Since the research will be conducted in an international and
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position Eligibility requirements Other qualifications Application A complete application must include: 1. A cover letter summarizing your qualifications, scientific interests and motives for applying (max
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, pharmacology and toxicology. Current research in veterinary virology includes both basic and applied research, and spans from virus-host interactions and metaviromics to epidemiology and the effects of viral
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of-the-art methods such as cryo-electron tomography
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that encompasses research units in Chemical Ecology, Resistance Biology and Integrated Plant Protection. Both applied and fundamental research are performed at the department, providing an excellent learning