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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
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engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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. You will work here The project is a part of Open Technology grant for our proposal COre-based PYrrolizydine alkaloid synthesis for Contaminant Annotation and Tracking ( COPY-CAT ). The research is
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contribute to food safety through innovation in analytical chemistry, within a multidisciplinary and collaborative research environment. You will work here The project is a part of Open Technology grant
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within the next three years is to be expected. A university PhD training programme is part of the agreement and the candidate will be enrolled in the Graduate School of Science and Engineering. The
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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candidate will be supervised by Prof. Francesco Maresca, chair of the Mechanics of Materials unit of the Engineering and Technology institute Groningen (ENTEG). Organisation Founded in 1614, the University
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the position. The position will be supervised by Prof. Casper Boks from the Department of Design and Dr. Stepan Vesely from the Department of Psychology. The Head of Department will be your immediate superior