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of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . Desired
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conduct research in computational mathematics, optimisation, biomathematics, statistics, and data science with strong connections to engineering, natural sciences, and industry. About the research
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techniques, and will desirably have a solid background in semiconductor physics or engineering. If you are interested in this exciting opportunity, we invite you to apply online at: https://www.sheffield.ac.uk
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in Electrical Engineering. Please check https://www.epfl.ch/education/phd/ for additional information. Please note that this is a separate application process. Main duties and responsibilities As a
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Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit of visual learning theory, the PhD student will develop methods for
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additive manufacturing in resource strategies and system models for evaluating long-term transformation paths Your Profile Excellent master`s degree in engineering, materials science, industrial engineering
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or a comparable field i.e. Electrical Engineering, Computer Science/ Engineering, Physics or the like Strong mathematical background Interest in energy systems, power grids and their components
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Chemical Engineering at kt.dtu.dk and about CERE at https://www.cere.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to
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information Further information may be obtained from Professor Fredrik Haglind, tel. +45 45 45 41 13. You can read more about Department of Civil and Mechanical Engineering at https://construct.dtu.dk/ If
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credits* in Mechanical Engineering, Electrical Engineering, Complex adaptiv systems, Data science and AI, Biomedical engineering, or a closely related field Strong written and verbal communication skills