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Description Clausthal University of Technology is a research-intensive university with a strong national and international network. The approximately 80 professors, 1,100 employees and 3,000
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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering), Condensed Matter Physics (Fluid mechanics and dynamics) and Applied Physics
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interest in agentic AI, online learning and optimization, and applications in economics. The full-time positions (100%) are initially offered for two years, with the possibility of extension, depending
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finalization of the foundations of dual-tracer imaging using a GATE-based Monte Carlo simulation Implementation of the developed algorithms within our modular, C++-based and cluster optimized PET image
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of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking a motivated PhD candidate to apply the emerging framework of information field theory
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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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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking two motivated PhD candidates to develop a novel multi-scale
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partners at CASUS (HZDR), TU Bergakademie Freiberg, and TU Darmstadt Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Chemical Engineering, Environmental Chemistry, Data
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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