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Mechanics and Turbulence” group and conduct research on data-driven techniques for turbulence modeling in LES and RANS. The initial contract will be for one year, with the possibility of an additional one
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In order to expand the Centre for Visual Data Science , the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a Postdoc position
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in merging soil physics knowledge and data-driven modeling of soil processes and properties, starting
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quality and functioning, particularly in plumes near river outlets. This post doc project will rely on existing data as well as new field data of nutrients, carbon, and stable isotopes from riverine-coast
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19165 Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped mu...
Science invites you to apply for a 19 month post-doctoral position at Aarhus University, in Roskilde, Denmark starting April 15th 2026 or as soon as possible thereafter. Job description In September 2023
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Science invites you to apply for a 19 month post-doctoral position at Aarhus University, in Roskilde, Denmark starting April 15th 2026 or as soon as possible thereafter. Job description In September 2023
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- specific predictive models, the lack of explainability in AI-driven decision processes, and the difficulty of capturing long-term dependencies in time-series data. In this project, you will focus
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productivity. Do you want to contribute to cutting-edge research that enables greener production of proteins and peptides by developing tomorrow’s super producers? Two post doc position are available, in
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diagnostic pathways. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals