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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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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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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
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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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to societal developments, technology, international cooperation, new threats and vulnerabilities, etc. This leads to a need for new logistical operational concepts for land, with exploration of air and marine
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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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in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
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• Strong interest in interdisciplinary research Qualifications Research Assistant • Honours degree in (Biology, Neuroscience, Computer Science, Engineering, Mathematics, or related area) In addition
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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relevant background within structural engineering, mechanical engineering, or computational engineering (or a closely related field). You must have a Master's degree in structural engineering, mechanical