42 assistant-professor-and-human-centric-computing PhD positions at Chalmers University of Technology
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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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is essential for a sustainable society. In this project, you will develop and apply advanced computational techniques to explore nano-catalysts for hydrogen carrier synthesis. Our vision is to
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knowledge from experience and building goal-directed behaviors that combine dexterity with high-level planning to achieve complex manipulation tasks in real-world, human-centric settings. Research environment
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We invite applications for several PhD positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre
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. The project will be based in the AI Laboratory for Molecular Engineering (AIME) , led by Assistant Professor Rocío Mercado Oropeza, where researchers develop new machine learning (ML) methods to tackle
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. This interdisciplinary project bridges data science and AI, computational arts and music, social sciences and humanities. The doctoral student will be joining the WASP-HS Cluster AI Futures of Culture and Memory
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: ashkan.panahi@chalmers.se Phone Number: +46732513792 Co-supervising team: Professor Ola Spjuth (ola.spjuth@uu.se ), Group Leader Brinton Seashore-Ludlow (b.seashoreludlow@scilifelab.se ), Assistant Professor
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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livable cities. The project will be based in the AI Laboratory for Molecular Engineering (AIME) , led by Assistant Professor Rocío Mercado Oropeza, where researchers develop new machine learning (ML
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requested after the interview. We welcome your application no later than August 31, 2025 For questions, please contact: Assistant Professor Gregor Lasser, MC2, gregor.lasser@chalmers.se, 031-772-4635