62 computer-programmer-"Multiple"-"U"-"O.P"-"Humboldt-Stiftung-Foundation" "Prof" positions at Chalmers University of Technology
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competitive performance. This position is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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position is a full-time temporary employment for two years with the possibility to extend by one (1) more year provided project funding is available and the project goes according to plan. The monthly salary
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contact: Prof. Eduard Hryha, director of CAM2 and topic leader: hryha@chalmers.se Prof. Uta Klement, head of Division of Materials and Manufacture: uta.klement@chalmers.se We look forward to your
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complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 11 May, 2025 For questions please contact: Prof. Leif Eriksson, Geoscience and Remote Sensing
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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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: Prof. Uta Klement, head of Division of Materials and Manufacture: uta.klement@chalmers.se Prof. Eduard Hryha, director of CAM2 : hryha@chalmers.se *** Chalmers declines to consider all offers of further
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Tenants’ Association. The supervisors represent expertise in: Sustainable architectural design, building transformation and renovation (Prof. Paula Femenías, Chalmers) Sociology with focus on environmental
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to references will be requested after the interview. We welcome your application no later than July 12th, 2025 For questions, please contact: Associate Prof. Jinhua Sun, jinhua@chalmers.se Prof. Uta Klement (Head
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable