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Field
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performance in the required courses of the PhD programme will be evaluated by regular testing and confirmed by the supervisor. PhD students determine their individual courses of study in accordance with
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the German Public Service Scheme. The contract will start as soon as possible and will initially be restricted to three years. A tenure track will be subject to personal performance. After a successful tenure
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
, there is the opportunity to work on your own research topics and establish a junior research group. Your duties: Support ongoing research projects by developing computer models and performing computer-based
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Description Doctoral Research Position (m/f/x) Reference number W2708, salary in accordance with the German TV-L salary scale1, pay grade: E13 TV- L, duration of employment: 3 years, volume
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(Europe/Berlin) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is
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environment The professorship will be assigned to the TUM School of Computation, Information and Technology, Department of Computer Engineering, combined with the position of the institute director at
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participate in the courses, for example by holding lectures during seminars or participating in doctoral study groups. Students' performance in the courses will be evaluated and documented during the programme
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results in materials with diverse microstructures and mechanical properties Perform experimental characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods, such as
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. by giving lectures during seminars or by participating in doctoral colloquia. A student's performance in the required courses of the PhD programme will be evaluated by regular testing and confirmed by
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in