631 evolution-"https:"-"https:"-"https:"-"https:"-"University-of-St"-"St" positions in Germany
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the design of an AI test environment for open-source Large Language Models (LLMs). Research on the influence of low-frequency expert data on LLM-based systems and development of robust strategies
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the strategic, scientific, and structural development of the DSMZ within a highly dynamic and interdisciplinary research environment. The successful candidate is expected to have an excellent and internationally
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on the development of compact, ultra-fast drives for the automated deflection of laser beams—the basis for new applications in 3D printing and surface processing, such as in the manufacture of batteries
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areas of software security and supply chain security. Heilbronn is one of the most dynamically developing locations in Germany in terms of innovation, technology development, and science. The city’s
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example, regarding molten pool shape and motion dynamics, or stress evolution during the build process. The PBF-EB sample environment 'MiniMelt', provided by network partners from KTH Stockholm, is used
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the development of innovative diagnostic, therapeutic, and technological solutions within the four research focus areas of the Medical Faculty of Heidelberg: Cardiovascular Medicine, Neurosciences, Translational
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
in solar physics and planetary research, with around 300 employees. The interdisciplinary research focus is the investigation of the development, diversity, and dynamics of planets, moons, small bodies
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. Methods to be used are effective and tight-binding models, linear and nonlinear transport theories (kinetic Boltzmann theory, time evolution of the density matrix). The project is part of the Collaborative
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12.02.2026 Application deadline : 28.02.2026 At the Tübingen Center for Digital Education (TüCeDE), within the research area “Transfer and Professional Development,” the following position is
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on the development of a machine learning model for the automatic sorting of used lithium-ion cells based on custom electrochemical impedance spectroscopy (EIS) data. The objective is to build a model that processes