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the associate professorship is a permanent position. The positions will have employment at Campus Esbjerg and will also include occasional research- and educational tasks at our program at Campus Odense
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: Background in bioinformatics, statistics, computer science, data science, or related fields with a relevant PhD degree (required). Experience with analyzing large genetic data sets, e.g., UK Biobank, All-of-Us
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Assistant Professor in Environmental Microbiology and Viromics of Danish Peatlands (3 year position)
. This project will combine computational and experimental approaches, leveraging the large-scale Microflora Danica dataset combined with samples taken from sites undergoing restoration. You will help conduct
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the information studies programme. As the successful applicant is expected to play a key role in developing cybersecurity as a strategic research area within the department’s curriculum, applicants
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, numerical simulation, and experimental methods hold equal weight. Selected candidates will be expected to Create a research program that is innovative and has global significance. Build collaborative efforts
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Clinical
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of computational thinking. In short: “Teach students how to fish – and occasionally hand out a free fish.” We expect that you: Have completed the DAM course or a related subject with good results. Are interested in
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). The position is affiliated with the Classical Studies programme and involves teaching courses for both the classical archaeology and classical philology tracks. The teaching associate professorship is a
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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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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
genomic information to improve genomic prediction models. The selected candidate will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, PhD students