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through publications, externally funded research projects, networking etc. Finally, the position will contain teaching obligations in relation to teaching programs related to the architecture study program
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closely with other members of the AI:EcoNet Lab. Requirements: Master’s degree in computer science, data science, mathematics, statistics, physics, software or relevant fields Strong background in machine
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT2 on Physics-based
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demonstrate a documented high level of original scientific production at an international level, including proven further development of in physiology and physics of the vestibular system. An assessment
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-on experience with using LCA methodologies, computational approaches, and databases. Familiarity with the consequential LCA modelling framework. Specifically, proven capacity in the development and use of dynamic
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Professor will teach within the different study programs at the Department, incl. Medicine, Medicine with Industrial Specialization and Biomedical Engineering and Informatics. You will be affiliated with