46 parallel-computing-numerical-methods uni jobs at University of Southern Denmark in Denmark
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your particular niche will be part of the position. The group has a very strong infrastructure and internal teaching program and covers multiple areas of pharmacoepidemiology, including method
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different courses within the German Studies Program and the Comparative Literature Studies Program at the department. The teaching tasks also include supervision of BA, MA, and Ph.D.-students. Academic
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/diplomas (from the Master’s and the PhD). A teaching portfolio containing documentation of your teaching qualifications as well as an account of your on learning and reflections on teaching methods and the
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pharmaceutical data science (PDS) within the area of pharmacoepidemiology and pharmacovigilance. It will be the responsibility of the candidate to establish a portfolio of research within AI methods in
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background in physics, optics/photonics, materials science, nanotechnology, computer science, or related fields. Responsibilities Operate hyperspectral imaging systems (VIS–NIR/SWIR) for scanning of advanced
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work, among other things on song learning in songbirds, hearing in frogs and bats and the effects of anthropogenic noise in marine mammals. Our research uses a number of methods within physiology
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in teams of scientists and support staff with competences spanning a wide range of fields including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure
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areas of the research group, as listed below. The group’s research areas involve traditional and innovative concrete and timber structures and assessment methods for determining the structural safety
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cards. Additional tasks may include supporting digital data collection (e.g., netnography) or qualitative elicitation methods. The ideal candidate is independent, proactive, and capable of liaising with
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and teaching collaboration, such as membership of different boards, councils and committees, course lead or head of study programme. The teaching and administrative obligation for academic staff is