72 parallel-computing-numerical-methods-"Prof" positions at University of Southern Denmark
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engineering, computer science, and artificial intelligence. SDU Vejle is a collaboration between the renowned Maersk Mc-Kinney Moller Institute and the Department of Mathematics and Computer Science at SDU
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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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/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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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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(AI) affect media, politics, and democracy. Using an interdisciplinary socio-technical approach, the Centre combines methods from social sciences and computer science to address the social
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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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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
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accomplished using methods such as reinforcement learning that should be initialized with information from human demonstrations. The developed method should be applied to the manipulation of flexible objects
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considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing