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future. We offer bachelor’s and master’s degree programs within biomedical engineering, medicine, medicine with industrial specialization, biomedical engineering, sports science, public health, and
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cultural change where research-based innovation becomes a natural part of our research culture. Take an active role in developing the teaching programme, including supervision of students at all levels (BSc
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applicant is required to show evidence of international business research publications that have been published or are in a pipeline for publication and to submit a plan for future research activities
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responsibilities lie within education with Danish as the main language, such as the master’s programme in Byggeledelse og Bygningsinformatik, and the bachelor's programme in Byggeri og Anlæg. Qualification
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teach within the BEng Health Tech study program Engage students in lab activities through teaching, research collaboration, and extracurricular activities Lead interdisciplinary projects with academic
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healthier and more sustainable future. We offer bachelor’s and master’s degree programs within medicine, medicine with industrial specialization, biomedical engineering, sports science, public health, and
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more information at the International Staff Unit – they also offer a spouse/partner programme. Assessment of Tenure Track Assistant professor The assessment in connection with transition to tenure as an
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paternity/maternity leave and during sickness. Find more information at the International Staff Unit – they also offer a spouse/partner programme. Assessment in connection with transfer to associate
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including supervision of PhD students. Competences and experience from teaching at different levels includes tests/exams, course/study programme management as well as contributions to the development
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
field data acquisition, processing, and interpretation. * Strong programming skills. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance