23 computational-fluid-dynamics Postdoctoral positions at Chalmers University of Technology in Sweden
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interdisciplinary collaboration and sustainability focused research, with strong ties to both academic and industrial partners. The research environment is dynamic and supportive, offering excellent opportunities
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. Strategic management of platforms and innovation ecosystems – open innovation, platform orchestration, and multi-stakeholder partnerships in dynamic environments Strategic use of intellectual assets and data
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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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of Space, Earth and Environment . Our division focuses on research addressing global environmental challenges and understanding Earth system processes. You will join the vibrant Climate Dynamics Group
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to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
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We are seeking a highly motivated Postdoctoral Researcher to join our dynamic research group at Chalmers University of Technology. As a key member of our organic electronics team, you will focus
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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