37 phd-architecture-engineering Postdoctoral positions at Chalmers University of Technology
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project Participate in teaching activities Qualifications You have a PhD degree in a field related to High Performance Computing or Computer Architecture. You are highly motivated, self-propelled, energetic
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and support PhD students working on related projects. Develop and communicate scientific findings effectively in English, both orally and in writing. Qualifications PhD in Electrical Engineering
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will be run in the Division of Computer Networks and Systems within the Department of Computer Science and Engineering . Within the Division we have four faculty members, four postdocs and eleven PhD
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. PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). Experience with case study methodology and the ability to translate
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(CS) group at the division of Communications, Antennas, and Optical Networks (CAOS) , Department of Electrical Engineering . The group consists of nine professors and a large number of PhD students and
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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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. Your profile We seek candidates with the following qualifications: You should have a PhD in engineering (e.g., mechanical, biomedical, or electrical) or human factors with an engineering focus. You must
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and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific
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Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning