39 postdoc-density-functional-theory-dft PhD positions at Chalmers University of Technology
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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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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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environment. This is an opportunity to combine field work and desktop analyses to advance the understanding of how shipping impacts the marine environment. The research will inform competent authorities on how
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the role of toe erosion in triggering landslides in sensitive clays. The focus will be on developing computational models that will quantify the erosion mechanisms, precursors and the time to failure
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Team up with up to 3 fellow Ph.D. students in the DSP-assisted Wideband & Efficient Transceivers (SWEET) project which is part of the WiTECH center to perform cutting-edge multi-disciplinary
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construction industry. We run the Robotic Fabrication Lab – a unique experimental space equipped with three customizable industrial robots, where we explore cutting-edge architectural themes, including digital
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with practical, application-driven, and experimental work. It includes active collaboration with both academic institutions and industrial partners. The focus of the research is on robotic manipulation
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We are searching for a doctoral candidate eager to take part in crossdisciplinarity work within battery technology for a sustainable future. This work will compose both theoretical and experimental
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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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introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop