53 high-performance-computing positions at Chalmers University of Technology in Sweden
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society. If you love tackling complex challenges, we've got a seat with your name on it! About us At the Department of Electrical Engineering research and education are performed in the areas
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Join the Computing Disease Evolution in Cancer (CODEc) group, led by Dr Eszter Lakatos within the Division of Applied Mathematics and Statistics and persue exciting research. As a Doctoral student
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research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work
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for retrieval of geophysical information Analyse waveforms and system performance Field tests and data collections Take courses at an advanced level within the Graduate school of Radio and space science Develop
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of Computer Science and Engineering—a joint department of Chalmers University of Technology and the University of Gothenburg with 300+ employees and a strong international profile. About the research project The PhD
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First Stage Researcher (R1) Country Sweden Application Deadline 15 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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nanoscience and nanotechnology. The selected candidates are awarded with a PhD position, which they can place at any Nano research group at Chalmers and with which they coordinate their specific PhD program
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on developing synthesizability-aware generative AI for polymer engineering. The positions are for full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology
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research will focus on developing novel memory and logic transistors based on TMDs. These will target both near-term industrial applications and emerging neuromorphic (brain-inspired) computing architectures
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on literature from mathematics, computer science, robotics, and game theory. Join a growing research group developing state-of-the-art algorithms for agentic decision making. About us The Department of