130 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Chalmers University of Technology
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more. About us At the Division of Energy Technology, we develop and analyze sustainable energy systems and conversion technologies for industry and society. Through strong national and international
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on developing synthesizability-aware generative AI for polymer engineering. The positions are for full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology
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of fiber infrastructure. Who we are looking for The following requirements are mandatory: A doctoral degree or an equivalent foreign degree in Electrical Engineering, Computer Science, Telecommunications
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established groups in telecommunication, remote sensing, optoelectronics, quantum technology, and high-performance computing. About the division and department With more than 30 faculty members, more than 100
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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic
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Computer Science and Engineering (CSE) is based in Gothenburg, Sweden. The department employs approximately 300 people from more than 30 countries, and as such the working language is English. The department is
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Are you passionate about advancing research that drives the transition towards a sustainable, fossil-free society? Chalmers University of Technology is recruiting a motivated and skilled researcher
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of Technology , you will investigate this question at the intersection of electrochemistry, materials science, and mechanics. Your work will advance the next generation of structural batteries—materials
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We are looking for a postdoctoral researcher to join our team in Sustainable Urban Water and Environmental Engineering at Chalmers. You will contribute to exciting research on innovative
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Engineers within the international master’s programme Mobility Engineering. About the research project This project aims to improve ship energy performance through the integration of AI, big data analysis