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the help of economic analyses of the effects of education on prosperity and equal opportunities. Help us and join our team! We seek a team member who is passionate about high-quality research on policy
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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stage. This is a transport ship with kite-based propulsion and an additional diesel engine to bridge port trips and wind lulls. In this project, we develop with CargoKite a new type of collision avoidance
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of PhD students and other students Support in establishing the institute Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or a related discipline
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study of artificial nanostructures with purpose-engineered quantum states Development of novel quantum sensors at the atomic scale Supervision and mentoring of masters and doctoral students Publication
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creative solutions for complex chemical and process engineering problem. Dehydrogenation processes: Construction of a test stand for the dehydrogenation of diol-based carrier molecules Explorative research
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- PhD student in quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by
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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical
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design based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will