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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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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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Physics Division that hosts the Langhammer Group provides further relevant information. Who we are looking for We seek candidates with the following qualifications: A PhD degree in physics. An experimental
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must have a PhD degree, with knowledge in semiconductor device simulations, fabrication, or characterization, preferably involving III-nitride-materials. Hands-on experience in (photo)electrochemical
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
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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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collaboration with researchers and industry partners Co-supervise PhD students and contribute to teaching at B.Sc. and M.Sc. level Participate in group activities, seminars, and conferences. Qualifications PhD in
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by senior researchers at the involved departments and companies. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a
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language courses both nationally and internationally (e.g. Nordic Five Tech and ALERT Geomaterials) Qualifications PhD degree in Computational Mechanics, Civil or Mechanical Engineering or a related topic
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, including PhD students, postdocs, and faculty, we are one of the largest software engineering research groups in the world. Our expertise spans AI engineering, software testing, requirements engineering