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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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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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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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students in a collaborative environment to push the frontiers of metal AM. This PhD position is linked to CAM2, which has developed 15 novel AM materials in close cooperation with more than 30 industrial
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Looking for your next challenge? Become a part of a team that’s driving change and innovation every day. This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research
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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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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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boundaries and towards circularity, resource efficiency and net positivity. In this fully funded PhD student position, which is part of the Formas-financed project “FRESH: Future REgenerative production
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background and your motivation to pursue a PhD • Motivate your interest in the research topic of this position and in pursueing your PhD at Chalmers • Describe your current MSc project and/or future research
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Requirements for the position: PhD in tumor immunology Extensive experience in immunohistochemical evaluation and multiplex immunofluorescence on tumor tissue Extensive experience with spatial proteomics