37 phd-cognitive-science PhD positions at Chalmers University of Technology in Sweden
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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. Qualifications To be eligible for a PhD position, you must: Hold, by the starting date, a Master's-level degree corresponding to at least 240 higher education credits in Computer Science and Engineering or a
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to study turbulent ship wakes and their effects on the marine
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might be the one for you. In this PhD position, you will explore occupational traffic safety with a focus on employees with driving duties outside professional driving roles. The research examines how
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We are currently offering a PhD student position focused on developing new AI-driven methods for molecular engineering, with an emphasis on the discovery and design of solid polymer electrolytes
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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The Department of Architecture and Civil Engineering (ACE) at Chalmers University of Technology has approximately 250 employees, encompassing a broad theoretical and practical knowledge base. In ACE, the Division
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas