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at the Division of Fluid Dynamics, within the Department of Mechanics and Maritime Sciences at Chalmers. The project is carried out in collaboration with Vattenfall Research and Development, and is part of
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engineering and maritime sciences: Dynamics, Fluid Dynamics, Vehicle Safety, Vehicle Engineering & Autonomous Systems, Combustion and Propulsion Systems, Marine Technology and Maritime Studies. The seven
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
the position to five years. A dynamic and inspiring working environment in the coastal city of Gothenburg . A starting salary of 34,550 SEK per month (valid from May 25, 2025). Chalmers is dedicated to improving
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of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine learning and robotics and artificial intelligence in general. The focus is broadly upon the development
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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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We invite applicants to join our team of researchers within the area of energy and environmental systems analysis focusing on the transition towards a sustainable transport sector. We are looking
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. You will join a dynamic and collaborative team at the forefront of sensor development for diverse aquatic systems—including drinking water and wastewater. Project overview Nutrient availability is a key
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us The position is located at the Division of Environmental Systems Analysis . We research environmental and sustainability assessment of various technical systems to evaluate environmental problems
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contribute to research and education in the field of sustainable electric power and energy systems. We offer an open-minded, collaborative, and supportive research environment that encourages individual growth
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will be part of a dynamic and inspiring working environment in the beautiful city of Gothenburg on the West coast of Sweden. About us The Department of Computer Science and Engineering is a fully