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, dissertation) Your profile University degree (Master’s or Diploma) in Materials Science, Physics, Materials Engineering, Nuclear Engineering, or a related field Solid knowledge of materials characterization
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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. TUD embodies a university culture that
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; degrees in Chemistry, Physics, Biochemistry, Chemical Engineering, or a related discipline will be accepted. At the time of the nomination (estimated January 2026), your last final exam should have taken
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Science, Physics, Materials Engineering, Nuclear Engineering, or a related field Solid knowledge of microstructural and mechanical characterization of materials, ideally with experience in TEM/STEM and
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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For being part of the selection process is needed: University degree (Master/ Dipl. (Univ.)) in a natural science, materials science, or engineering discipline good written and spoken English skills Following
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-reviewed journals Your profile For being part of the selection process is needed: University degree (Master/ Dipl. (Univ.)) in a natural science, materials science, or engineering discipline good written and
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning
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the field Requirements: MSc in Physics, Mathematical/Theoretical Biology, or Chemical Engineering Very good written and spoken English skills Curiosity about the mechanisms underlying life and disease Self
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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. For TUD, diversity is an essential