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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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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