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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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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 Copenhagen Business
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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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their accuracy, robustness, computational efficiency, and practical applicability. They could also be implemented in real-time systems. Investigate interactions across operational timescales (Multi-timescale
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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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Application Deadline 18 Oct 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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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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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