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below). Hands-on experience with layout and tape-out of CMOS chips. For further information, please contact Professor Farshad Moradi, moradi@sdu.dk , Associate Professor Milad Zamani mzamani@sdu.dk
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to streamline the journey from research to real-world vaccines. Who are we? Being part of the Airway Immunology Group at NIVI-R, the Ph.D. student will be supervised by CO-PI Associate Professor Henrik Kløverpris
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that provide analysis of both liquids and gasses. The successful candidate is expected to spend approximately 50% of the time at TOPSOE R&D, located in Lyngby. Principal supervisor: Professor Jan H. Christensen
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-interior coupling and the response of the coupled system to extreme events. The project leader is Associate Professor Shahab Fatemi (shahab.fatemi@umu.se ), and the project includes collaboration with
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ago, and do not hold a position as PI, Associate Professor, Full Professor or equivalent. An extension arrangement applies to the post-PhD period. Who may submit a nomination? Members of the Royal
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 8 hours ago
Dresden University of Technology Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time
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: Associate professor Oskar Modin oskar.modin@chalmers.se, +46 31 772 2138 *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in
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1st September 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Human-AI Interaction and Learning Apply for this job See advertisement
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strong track record of demonstrated ability to conduct research. Years of relevant experience: For research assistant professor position: Two (2) years. For research associate professor: Four (4) years
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system