99 phd-rehabilitation-engineering-computer-science positions at Aarhus University in Denmark
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and PhD students working on various aspects of computational biology and hosts a number of collaborations with the Hospital. BiRC hosts the genomeDK supercomputer, which will be available
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the Director of Center for Music in the Brain. Your competences You have academic qualifications at PhD level, for example within the following areas of neuroscience, engineering, mathematics, medicine
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, biobanks, epidemiology, neuropathology, wearables and biotech, experimental disease models including animal and cell models, and basic science programs in alpha-synuclein patho-mechanisms, neuroimmunology
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biopolymer science. The Department currently employs approx. 60 full time scientific staff and 80 PhD students and Postdocs, with approx. 80 thesis based Bachelor and Masters students and visiting staff and
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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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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to) neuroscience, psychology, biomedical engineering, neuroinformatics, cognitive science or psycho-/neur0linguistics. You have a proven record of neuroimaging experimentation (particularly using MEG/EEG) and of
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Natural Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Natural Sciences Tenure Track Programme. Highly qualified
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at the Department of Clinical Medicine, you will be part of what is probably the largest health science research department in Denmark. Our clinical research covers all the medical specialities and
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the sea, combining rich cultural life with easy access to nature. Qualifications PhD in mathematics (completed or expected before start date). Preferred research record in probability theory, analysis