305 associate-professor-computer-"https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral positions in Denmark
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will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 1 year. The
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information please contact Clinical Professor Jesper Hvass Schmidt, jschmidt@health.sdu.dk . The employment will be based at Odense University Hospital (OUH), Department of Oto-Rhino-Laryngology, Head & Neck
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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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on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years, preferably starting August 2026
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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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with High-Dimensional Covariates, funded by an Independent Research Fund Denmark grant. The project is led by Associate Professor Jesper Riis-Vestergaard Sørensen (UCPH) with Professor Denis Chetverikov
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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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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(or equivalent). Assessment Candidates will be assessed by Senior Researcher/Associate Professor Mikkel Heuck. We offer DTU is a leading technical university globally recognized for the excellence
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Associate Professor Mahdi Abkar, focuses on developing and testing improved numerical models to predict the complex interaction between turbulent flows and the environment, with an emphasis on energy systems