36 phd-in-architecture-interior-design-built-environment PhD positions at Chalmers University of Technology
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. Supervised by an interdisciplinary team, the PhD will study diverse behaviours across the life phases of dishwashers and user groups using LCA, contribute to the evaluation of design interventions and advance
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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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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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What if you could design systems that not only follow instructions — but understand intent and guarantee correct behavior over time? We are looking for up to two PhD students who want to explore
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. About us The PhD position is placed at the Division of Material and Computational Mechanics . We foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. Our
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environment Geotechnics research at the Department of Architecture and Civil Engineering focuses on the characterisation and modelling of complex geomaterials, particularly natural clays. Our work bridges
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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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wastewater systems. Research environment The project is based at the Division of Water Environment Technology (WET), within the Department of Architecture and Civil Engineering. You will be part of
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research activities in the project, in collaboration with supervisors and other researchers. Take PhD courses as part of the Doctoral Programme "Human-Technology-Design" Develop your own scientific concepts
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning