17 high-performance-computing positions at Chalmers University of Technology in Sweden
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Shape the future of high-performance computing. The European DARE project is pioneering next-generation processing technologies, leveraging RISC-V and Vector architectures, and we're looking for two
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
performance in core mathematics and machine learning courses Master’s degree (or near completion) corresponding to at least 240 higher education credits in mathematics, computer science, electrical engineering
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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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, with researchers and students from around the globe. The Division of Marine Technology focuses on the professional understanding and technical development of ship operational performance. Research areas
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of the technology in the companies in Software Center. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300 employees from more than
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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to develop a more sustainable and energy efficient method for recycling carbon fibre composites. The approach uses alternating magnetic fields to heat the material in a controlled way, breaking down
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research topic of qubits, as researched in the Quantum Computing group . It has been shown that having a high-quality superconducting cavity can improve the resonator Q-value. Using FEM simulations and
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to operate around the clock. By ensuring the performance, longevity, and circularity of industrial systems such as advanced manufacturing (e.g., automotive and battery) and renewable energy (e.g., energy