121 master-"https:"-"https:"-"https:"-"Newcastle-University" Postdoctoral positions in Denmark
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Master and PhD degree certificates A complete and numbered list of publications Three scientific publications considered to be most important for the advertised position (please note that one file per
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in drug toxicity, drug metabolism and drug transport. Examples of this include cell-based models such as induced-pluripotent stem cells, primary human hepatocytes, and clinical studies
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, microbial fermentation performance, and links between fermented foods and gut health. Responsibilities and qualifications The main areas of research will be: Develop and evaluate beneficial microorganisms
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AI-driven enzyme design. Your primary tasks will be to: Establish a high-throughput enzyme expression setup in the group supported by department-wide expertise Implement high-throughput screening
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the CO2 capture group and contribute to both fundamental and applied aspects of solvent screening and evaluation. Your primary tasks will be to: Screening and conduct experimental studies on absorption and
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primary focus on software architecture and signal processing. You will work closely with our international team of collaborators to ensure the system meets the rigorous requirements for clinical skin sample
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design and scaling for electromethanogenesis. The position is based at the main campus at Aarhus University and is expected to begin on 1 May 2026, or as soon as possible thereafter. The postdoc will be
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
healthy work-life balance. Place of work and area of employment Main campus of Aarhus University at C.F. Møllers Allé 3, 8000 Aarhus C, Denmark Contact information For further information, please contact
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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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aerosol modules, and assess the importance of different processes with a comparison to available observations. Analyse large model output and observational datasets to determine the impacts and main drivers