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Field
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Engineering, Chair of Compiler Construction, a full-time project position as Research Associate / PhD Student / PostDoc (m/f/x) (subject to personal qualification employees are remunerated according to salary
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rapid prototyping capabilities like lithography, 3D printing and laser cutting, construction and connection technology labs, as well as various metrology laboratories. This research center is part of
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). It is located at the University of Leipzig and the TUD Dresden University of Technology
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and artificial intelligence methods. Interested? Please
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of Technology. At each location we bring together more than 150 staff members. In ScaDS.AI, various research topics are being worked on within the framework of a graduate school on the fundamentals and
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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 oriented
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on the interplay of liquid and solid components and energy in biological materials and how properties of these materials emerge from their structure. Your tasks In this experimental project, we will investigate how
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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entropy or Kullback-Leibler divergence vs. measurement time Analysis and documentation of the results Your Profile: Excellent academic performance in a master’s program in electrical engineering, materials