21 distributed-computing-associate-professor Postdoctoral positions at Chalmers University of Technology in Sweden
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to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
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Sahlgrenska, we are working to advance AI-based decision-making systems, specifically designed for medical use. Information about the division and the department The Department of Computer Science and
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please contact: Professor Maria Messing Email: maria.messing@chalmers.se Phone: +46 31 772 2582 We look forward to your application! *** Chalmers declines to consider all offers of further announcement
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applications sent by email will not be considered. Application deadline: June 10, 2025 For questions please contact: Professor Johan Liu EMSL-MC2 Email: jliu@chalmers.se Tel: +46-705693821 Or Professor Per
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institutes and industry partners play a key role in our work. Our group currently includes 1 Professor, 1 Senior Scientist, 4 Postdocs and 8 PhD students. Your research will focus on significantly reducing
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for wearable electronics and energy technology. Our research is conducted in close collaboration with various universities, institutes, and industry partners. The group currently comprises 1 Professor, 1
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in computer science, mathematics, statistics, bioinformatics, or equivalent. The candidate should have previous experience in bacterial genomics, machine learning/artificial intelligence, preferably
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activities, which also include responsibility for the master's programme in Naval Architecture and Ocean Engineering and contributions to the education of seafarers. Your profile To qualify for this position
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This postdoc project aims to address a critical challenge in quantum computing: errors in superconducting qubits caused by cosmic radiation, which cannot be corrected using existing methods
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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is