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with GKN Aerospace Sweden with partial work there and combines numerical and experimental research. Project overview The purpose of this project is to contribute to the development of an ultra-efficient
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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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techniques. Our work is interdisciplinary by nature and is addressing topics that have a direct impact on sustainability. The division is collaborating closely with other universities and research institutes
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the right one for you! This is a fully funded PhD position to develop micromechanical models of high-pressure die-cast aluminium, a unique opportunity for a motivated individual to work in a collaborative
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characteristics, reuse, recycling, and overall sustainability across various materials and applications. Our AM group is one of the largest in Europe, bringing together dedicated researchers, postdocs, and PhD
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the Wastewater Management and Environmental Biotechnology research group. You will be supervised by three senior researchers and work alongside other PhD students and postdocs in the group. Our interdisciplinary
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-scale GAC filter data to aid in system understanding, design, and optimisation. Main responsibilities Conduct research within the PhD project (>80%) Publish scientific articles and present your work
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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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enables cutting edge research, expertise, and competence building in the humanities and social sciences. The PhD student will join the WASP-HS graduate school which provides foundations, perspectives, and
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to five years. There are no tuition fees for PhD studies at Chalmers. Equality and inclusion Chalmers is committed to creating and supporting an inclusive and diverse research environment. We especially