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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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Join a team with an extensive national and international network in metal additive manufacturing! This PhD position at Chalmers University of Technology is a unique opportunity to develop your
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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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120 credits or a Master’s degree (magisterexamen) of 60 credits in Materials Science, Engineering Physics, or a related field* You will need strong written and verbal communication skills in English
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aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
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engineering structures made of concrete, steel, wood and other materials, separately or in combination, at normal conditions, in cold climate and in fire. Project description This PhD project focuses
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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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This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
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, biotechnology, and materials science. Your main supervisor, Malgorzata Zboinska , is associate professor in Architectural Design, Digital Technology and New Media Art and development leader for the Robotic
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, Chemical Engineering, Electric Power Engineering, or Material Science Be highly motivated and able to work independently and in interdisciplinary settings Have experience or interest in battery technology