43 coding-"https:" "https:" "https:" "Computer Vision Center" PhD positions at Chalmers University of Technology
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. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org
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, information and coding theory, signal processing, and quantum systems. Our research combines fundamental methods with algorithm development, with close connections to both academic and industrial
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geometry assurance, robust design, systems engineering, product development methods, automation, autonomous systems and industrial digitalisation. Links: Geometry Assurance & Robust Design: https
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of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research, strong industry
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The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research
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partners to advance safe, reliable automation. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg. Our internationally
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student, you must have a master's level degree* corresponding to at least 240 higher education credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering
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-scale infrastructure systems. For more details, see https://research.chalmers.se/en/project/12873 Who we are looking for The following requirements are mandatory: A doctoral degree in applied
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a future green hydrogen economy ( TechForH2 ) competence center. Your research will initially focus on hydrogen storage and distribution challenges, from environmental and cost perspectives. This
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complex systems, network science, transport systems, urban science, computational social science, applied mathematics, physics, computer science, geography, urban planning, engineering, data science