71 programming-"the"-"DAAD"-"U"-"Prof"-"IMPRS-ML"-"IMPRS-ML" positions at Aarhus University
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The Department of Psychology and Behavioural Sciences invites applications for assistant professorships in Psychology. The educational program of the Department covers the subfields of Social and
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, including research and teaching activities, as well as in management and/or organisational roles (such as participation in the central study board, degree programme boards and various local management
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researcher development programme targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted
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plants and bacteria to foster sustainable and climate-friendly agricultural practices. Our research is funded by ambitious programs, and our team consists of dedicated scientists and students committed
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plants and bacteria to foster sustainable and climate-friendly agricultural practices. Our research is funded by ambitious programs, and our team consists of dedicated scientists and students committed
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researchers in securing significant external research funding. Supervise PhD students and contribute to the development and delivery of PhD education and training programs. Conduct and lead high-impact research
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responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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Aarhus University, Denmark - an international top-100 university - has made an ambitious strategic investment in a recruitment plan to radically expand the Department of Electrical and Computer
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and