21 cloud-computing-associate-professor Postdoctoral positions at Chalmers University of Technology in Sweden
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. The team is lead by Associate Professor Jinhua Sun . About the division As part of the Division of Materials and Manufacture at the Department of Industrial and Materials Science (IMS) , you will contribute
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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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: Professor Roland Kádár, Engineering Materials, roland.kadar@chalmers.se; 0046 31 772 1256 We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing
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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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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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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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, 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