111 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Aarhus University
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? Then you might be our new student assistant! The Department of Management is looking for a student assistant from February 1, 2026, until January 31, 2027 to assist with administrative and practical
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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physiology and neuromuscular diseases are some of the research areas at The Department and the current position is anchored in a laboratory lead by Associate Professor Thomas Holm Pedersen. The focus
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appointment in the lab. You will report to the Professor Marina Romero-Ramos Your competences We are seeking a highly motivated and independent postdoctoral researcher with a background/PhD in computational
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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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current position is anchored in a laboratory lead by Associate Professor Thomas Holm Pedersen. The focus of the laboratory is neuromuscular disease and underlying disease mechanism. In particular, the work
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laboratories, 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
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. 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 contribute to the teaching. English is the
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field. You will report to Professor Lene Niemann Nejsum and Researcher Frédéric H. Login. Your competences Applicants must hold a PhD in cell biology, membrane physiology, renal physiology or a closely
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also