42 postdoctoral-exercise-science PhD positions at Chalmers University of Technology in Sweden
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Environment Technology (WET), Department of Architecture and Civil Engineering As a PhD student, you will be part of the research group in Wastewater Management and Environmental Biotechnology Our research
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We are offering an exciting opportunity for a motivated, independent, and curious PhD student. Are you interested in the biological processes within wastewater infrastructure? Do you enjoy both
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(SPEs) for next-generation solid-state batteries. The position is a full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology, and based in Gothenburg
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full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology, and based in Gothenburg, Sweden. The student will form a part of a new NEST initiative
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in the management of technology, people, and organization, and a desire to make groundbreaking contributions to the field of maintenance engineering. PhD Project overview The project focuses
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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
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, manufacturers and policymakers in enabling more sustainable user practices across product acquisition, use and end-of-life phases. About us The position is located at the Division of Environmental Systems
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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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Join a team with an extensive national and international network in metal additive manufacturing! This PhD position at Chalmers University of Technology is a unique opportunity to develop your
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reinforcement learning, robotics, and the development of reactive software systems. It enables the creation of robust, reliable programs by specifying what a system should do, while automatically deriving how it