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for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) within the field of statistical and machine learning methods development for genetic analysis and causal
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Aarhus University (www.chem.au.dk) is one of the leading European chemistry departments with a broad research program. It has a permanent staff of 43 full and associate professors, a support-staff of ~40
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addition to supporting user operations and SCS, the successful candidate will have the opportunity to pursue a research program under the supervision of the SINCRYS beamline scientist. The commissioning of a new
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disciplines, as well as a substantial part of the teaching in the medical degree programme. While firmly rooted in our respective disciplines, we actively foster interdisciplinary collaboration to advance
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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background equips you to work with both materials and processes, and you are comfortable operating at the interface between experimental work and computational modelling. You have experience with Machine
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for teaching within public health, sport science, health science, nursing science, and related methodological disciplines, as well as a substantial part of the teaching in the medical degree programme. While
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data, variant discovery and filtering, and downstream population-genetic and evolutionary-genomic analyses. The work will require substantial data processing, quality control and computational
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the medical degree programme. The successful candidate will be expected to teach philosophy of science across these programmes. While firmly rooted in our respective disciplines, we actively foster
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Creativity Support in Generative AI The position is open for appointment as of October 2026, or soon hereafter. The position is a three-year role, located in the Department of Computer