33 phd-computer-engineering Postdoctoral research jobs at Chalmers University of Technology
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24 Mar 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Inorganic chemistry Chemistry » Physical chemistry Chemistry » Other Engineering
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science, polymer engineering, physics, and chemistry. About us This position will be placed in the Division for Computational Mechanics and Materials Engineering , which belongs to the department
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application no later than May 16, 2026. For questions please contact: Eduard Kerkhoven Group Leader in Computational Metabolic Engineering eduardk@chalmers.se We look forward to your application! *** Chalmers
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10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Control engineering Engineering » Materials engineering Engineering » Other Physics
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for Computational Mechanics and Materials Engineering , which belongs to the department of Mechanical Engineering at Chalmers University of Technology In the division of Computational Mechanics and Materials
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platform Who we are looking for Required qualifications: Applicants must hold a PhD degree awarded no more than three years prior to the application deadline* in: Electrical engineering Engineering physics
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24 Mar 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Physical chemistry Chemistry » Other Engineering » Materials engineering Physics
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modeling of quantum computer systems. This can be either a holder of a PhD in computer science and/or engineering (computer architecture and HPC related topics) with knowledge in quantum computing or a PhD
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10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Environmental science » Earth science
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your application: A doctoral degree in automatic control, electrical engineering, computational materials science or related. Research experience in battery tests, machine learning, data-driven