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can be improved by incorporating genetic information. However, for this to become a reality, requires statistical tools that do not yet exist. This project will develop novel statistical tools
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either contributes to or is responsible for teaching in medicine, public health science, sport science, optometry and nursing. At the Department of Public Health, you will have approx. 200 colleagues
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to generate new knowledge within biomedical research areas such as infection and inflammation, membranes, neuroscience and personalized medicine. The Department of Biomedicine provides research-based teaching
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epidemiology and/or statistical genetics as per 1 June 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 2 years. The National Centre for Register-based Research
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performances on pea plants. The position is available from the 1st ofNovember 2026 or as soon as possible therefter. Job description The aim of the project is to develop an AI-based phenotyping system for high
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part in teaching and supervision at BSc and MSc level, and to take responsibility in grant application writing. We seek a candidate with knowledge of the application and analysis of Sensory & Consumer
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of Chemistry, and the group of Prof. Hobolth at the Department of Mathematics. A second postdoc with expertise in stochastic processes and statistical methods will be part of the project and you are expected
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to ecological monitoring. The successful candidates will help further develop analysis pipelines and implement next‑generation sensors for automated monitoring of insects across Europe. The positions are part of