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professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information
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demand control policies that are adaptive, data-efficient, and robust to uncertainties. Reinforcement learning has shown significant promise in these domains by enabling agents to learn complex con-trol
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for the following position at the Chair of International Health and Medical Law and Data Protection Law (Prof. Dr. iur. Fruzsina Molnár-Gábor), initially limited for a period of one year: Research Assistant (f/m/d
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tackle the complex challenges of our time. At CAELIA Health, we are building the data and AI foundation for precision respiratory medicine. As Chief Data Officer, you will play a central role in shaping
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applied to complex data across various domains, including energy systems, industrial processes, healthcare, finance, and mobility. We are offering a Master’s thesis (or research assistant opportunity) in
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suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard
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health, accident and personal liability insurance cover (see also our important information for scholarship applicants / section F, point 4) travel allowance Under certain circumstances, you can apply for
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-recruiting-faq/ for further information). A university degree and an outstanding doctoral degree or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research
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management of existential risks. In close cooperation with strategic partners, the institute is dedicated to the entire processing chain of data and information: from acquisition, transmission and processing
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data to derive robust relationships between water chemistry, reagents, and interfacial flotation mechanisms Support model development and model parameterization (e.g., attachment/detachment kinetics