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the technical and organizational conditions for successfully embedding AI systems in expert work. Stipend 2: PhD in AI for architecture This stipend revolves around building and deploying AI in architecture
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clinical implementation. The candidate will hold a PhD in computer science, biomedical engineering, applied mathematics, or a related discipline, and should demonstrate a strong record of methodological
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over 150 scientific staff and more than 2,000 students. In addition, we have over 30 PhD students and an administration team of 35 staff members. Join us in making a positive impact on society! More
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of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs
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, research and knowledge dissemination. Further, it is expected that the applicant holds a PhD degree, is part of international research networks and demonstrate experience with PhD supervision, academic
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to have a strong professional and educational background within the majority of the following areas, with a professional focus on the first topics listed: • A PhD degree in fluid power or a closely related
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at the University. Experience giving conferences, workshop tutorials and PhD courses are welcome. The candidate must hold a PhD degree in relevant research area with a portfolio of publications on magnetics
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, MATLAB, and/or C++/C#) Knowledge of machine learning techniques, particularly for time-series data Background in prosthetics or human-machine interfaces is advantageous PhD Stipend 2: Adaptive Control
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includes (max 1 page): Your motivation for pursuing a PhD Your experience and interest in conducting research Your experience and interest in studying AI and work Project proposal (max. 2 pages): Describe
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inspiring environment for PhD students (including PhD supervision), junior researchers, as well as more experienced researchers in developing their academic careers. It also involves engaging with external