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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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development process with the intent of accelerating the adoption of the technology in the companies in Software Center. We seek candidates with the following qualifications: To qualify as a PhD student, you
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240 higher education credits in Applied Mathematics, Applied Physics, Electrical Engineering, Mechanical Engineering, or a related field. A strong mathematical foundation and excellent academic
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. Your profile Required qualifications: A Masterʼs degree equivalent to at least 240 higher education credits in Mechanical Engineering, Engineering Physics, Civil Engineering, or in a similar field, with
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announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology
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of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in
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B.Sc. degree in physics, material science, electrical engineering or a related field. Experience in semiconductor processing in a cleanroom environment and electrical device characterization is
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evaluation frameworks and/or the development of energy system optimization models. The research is applied and closely linked to industrial interests and needs. About the research Our research aims to provide