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can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas
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factors. Knowledge and prior use of Machine Learning and AI/deep learning for G2P or genomic epidemiology analyses will be considered an asset. Experienced user of various QA/QC tools and bioinformatics
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, Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, DK-8000 Aarhus C, Denmark: https://geo.au.dk/paleo Contact information Applicants seeking further information are invited to contact: Dr
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Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about
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Denmark. More information about the research group is available here: https://chem.au.dk/AmorphousMatLab What you will do The postdoc will co-lead beamtime proposals and campaigns, and will work with
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: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University also offers
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colleagues support each other and share expertise to enable everyone to benefit from a broader skills and knowledge base. Personal skills: Highly motivated, independent, and well-organized; strong analytical
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counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http
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‑based frameworks) and an interest in working with various software architectures (e.g. CAPE-OPEN) and object‑oriented software platforms. Knowledge of thermochemical conversion of biomass (e.g. pyrolysis
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XFEL, ESRF, APS, and LCLS, depending on awarded beamtime. The project is supported by the Independent Research Fund Denmark. More information about the research group is available here: https