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English (oral and written) Who we are The Section for Electrical Energy Technology focuses on energy system integration and supporting the energy transition towards a more efficient, circular, and reliable
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Computation), Formal methods, and willingness to enhance knowledge in several of the listed areas. Proficiency in programming skills (C/C++, Python, Rust, Solidity, Vyper, etc.) is preferable. Strong
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and written communication in English; Practical abilities to carry out experimental research, and excited to develop new experimental setups. Demonstrated ability to carry out research independently
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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candidate is expected to have high motivation and independence and good English communication skills as well as being a team player. Familiarity with openFoam and some experience in experimental methods is
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candidate is expected to have high motivation and independence and good English communication skills as well as being a team player. Familiarity with openFoam and some experience in experimental methods is
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Aabogade 40, 8200 Aarhus, Denmark, and the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Head of section, Prof. Anders
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/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting