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to course development discussions. They will be expected to act as tutor to undergraduate and taught postgraduate students You should apply if you have: a PhD (or near completion) in Engineering
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condition that the person who accepts the position applies for and is granted admission to the Faculty’s PhD-program in Technology within three months of starting in the position. The doctoral programme
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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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University of Technology and at Austrian Scientific Computing (ASC) Employment Requirements A university education appropriate to the post, with a completed PhD. Outstanding academic achievements in research
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LevelPhD or equivalent Skills/Qualifications You hold a PhD in science or engineering. Excellent knowledge of English (spoken and written). Resourceful, ambitious and internationally oriented. Capability
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interdisciplinary research at the interface of engineering, mathematics, and medicine. Applicants should hold a Master's degree (or equivalent) in Cybernetics, Electrical Engineering, Informatics, Physics
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are especially interested in candidates with a PhD in Materials Science, Chemistry, Physics, Chemical Engineering, or a related field, and with a solid experimental background in organic semiconductors, polymer
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, deadline 1 October! More information about the Full-time PhD in Business and Management programme can be found on the RSM website . Where to apply Website https://www.academictransfer.com/en/jobs/363549
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to this call may be national, foreign or stateless candidates holding a PhD degree in the field of Environmental Science and/or Engineering, Environment and Sustainability, Chemistry, Computer Science, Data