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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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closely with architects, engineers, biologists, and chemists at the University of Stuttgart and the University of Freiburg. The research focuses on the conception, development, and evaluation of bio
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continuous casting. The process covers 96 % of the total production volume of steel world-wide. The tasks cover the construction of the laboratory demonstrator using low-melting metal alloys including
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://euraxess.ec.europa.eu/jobs/401249 . Your mission The objective of this PhD project is to advance computational fluid dynamics (CFD) methods for the analysis of structural vibrations induced by two-phase flow
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apply a data-driven approach to cross-scale materials discovery and design, in particular, goal-oriented, inverse design procedures based on process-structure-property linkages are of interest
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characterisation Study of the degradation profile and publication of the results Your profile Completed university studies (Master, Diploma) in the field of Materials Science and Engineering, Electrical
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of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD
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improve the sustainability, the energy efficiency and the safety of industrial processes. The Department of Department Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d
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of the world's leading research centres. Its research focuses on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY
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(or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong background in Structural Bioinformatics and