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Field
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. The investigation of the temporal and spatial distribution of the exhaust gases in the atmospheric layers after the launch vehicle has passed through is therefore crucial for drawing conclusions about their climatic
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change, partly based on a long-term monitoring program maintained in a shallow river-connected lake. We look forward to recruiting a creative and dedicated experimental ecologist with expertise in
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise
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training schemes for large models on high-performance computers like JUWELS and JUPITER at the Jülich Supercomputing Center. If you`re passionate about AI research and eager to make a real-world impact, we
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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Degree PhD, Dr rer pol Course location Jena Teaching language English Languages English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any
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leader with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related fields Experience in applied data science and machine
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a PhD Candidate / Software Developer for Aerospace Knowledge Base (m/f/d
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02.07.2025, Academic staff The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are passionate
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The Fraunhofer IEE in Kassel conducts research in the fields of energy management and energy system technology, focusing on: energy informatics, energy meteorology and geoinformation systems, energy