35 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Aarhus University
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Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the
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, membranes, 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
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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July 2026 and in other dissemination activities. Qualifications Applicants must have a PhD degree or must document equivalent qualifications in a relevant field related to Old Norse studies, for instance
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD
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. Aarhus – a vibrant university city by the sea, combining rich cultural life with easy access to nature. PhD in mathematics (completed or expected before start date). Preferred research record in
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scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, or related disciplines. We
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degree programme. Approximately 500 employees from around the world are employed at the department, which houses modern laboratory, core, and animal facility infrastructures. English is the preferred
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degree programme. Approximately 500 employees from around the world are employed at the department, which houses modern laboratory, core, and animal facility infrastructures. English is the preferred