16 postdoc-density-functional-theory-dft PhD positions at Chalmers University of Technology in Sweden
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postdocs at Chalmers, and collaborate with academic and industrial partners in Sweden and internationally. The role also offers opportunities for travel and engagement with external collaborators. Research
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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behavior of programs at a high level. Automata theory — to manipulate logical formulas and domain representations. Two-player games — to reason about strategies and synthesized programs. The work involves
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Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking PhD students to work
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of robotics, electromobility and autonomous driving. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and
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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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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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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to work on cumulative risk assessment of shipping pressures
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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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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