86 computational-physics-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Aarhus University in Denmark
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of computational methods. Your job responsibilities As a Postdoc your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Ecoscience programme. The position is available from 01
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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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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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. This project aims to improve the evaluation of nitrogen losses in cropping systems by analyzing experimental results and carrying out process-based modelling. Additionally, you will apply your research findings
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The Department of Physics and Astronomy (IFA), Aarhus University, Denmark ( www.phys.au.dk ) invites applications for a 2-year academic employee position with focus on establishing and maintaining
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. Qualifications We are looking for a highly motivated researcher with a background in atmospheric chemistry, physics, mathematical modelling, climate science, or related fields. The ideal candidate should have
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
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, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research
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computing (HPC), and AI are strategic focus areas. At the department, you will be part of a technical team with other academic technicians, who work with large amounts of data, both from computational and