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theoretical and practical knowledge, develop lighting design processes and clarify how lighting design as an area of expertise can contribute to strategic design. Part of the doctoral student's service will
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the Division of Vehicle Engineering and Autonomous Systems (VEAS) , with some collaboration from the Division of Vehicle Safety. VEAS is a research division with close ties to the local vehicle industry
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students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through
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offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global
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substantially equivalent knowledge in some other way. For this position, the applicant must hold a master’s degree in molecular biotechnology, bioinformatics, computer science, or another area that the employer
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of the applicants will be evaluated on an overall basis. Karolinska Institutet uses the following bases of assessment: – Documented subject knowledge of relevance to the area of research – Analytical skill – Other
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on advancing Net Zero industries through new knowledge and solutions in maintenance engineering, such as in the emerging and rapidly scaling battery industry. The position is uniquely open for top talent eager
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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strong interest in physics, especially optics, and basic knowledge of material science. Applicants with one or more of the following skills/qualities will be considered with priority: experience and/or
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acquired substantially equivalent knowledge in some other way. We are looking for a candidate who has a strong interest in data-driven research in infection biology. Previous practical experience in machine