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with real-world applications, in collaboration with Volvo Cars and Volvo Group. This is an ideal position for candidates interested in interpretable AI, safety guarantees, and high-impact research in
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patterns in human health. The research is also related to global food security topics in an international context. About the research project Both microalgae and macroalgae (i.e. seaweed) have emerged as
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- Chalmers Railway Mechanics . CHARMEC’s long-term goal is to reduce the railway’s cost of production, environmental impact, and operational maintenance, while improving safety, reliability, and quality
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Transformers are central to many of today’s most successful AI models, from language understanding to computer vision. Yet, their success remains largely empirical, with limited theoretical understanding
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engineering and maritime sciences: Dynamics, Fluid Dynamics, Vehicle Safety, Vehicle Engineering & Autonomous Systems, Combustion and Propulsion Systems, Marine Technology and Maritime Studies. The seven
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28 Feb 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Nuclear engineering Physics » Applied physics Physics » Computational physics
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Safety, Vehicle Engineering & Autonomous Systems, Combustion and Propulsion Systems, Marine Technology and Maritime Studies. The seven divisions conduct fundamental and applied research in close
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to statistical security notions and formal methods is possible. One or two extended research visits are encouraged during the doctoral study. Project overview In Bounded Space Cryptography we are working with
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the project goals. It is furthermore meritorious is if you have previous experience of: Working in a laboratory following safety guidelines and documentation of experiments. Microfabrication
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The position gives a unique opportunity for cutting-edge research in multi-layer network security. The project focuses on enabling resilience, security and reliability of upper-layer network