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people of different talents, experiences, and skills work together to learn from each other and generate new knowledge and methods to create a better quality of life. TRIGGERINK PROJECT The TriggerINK
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to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you
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; at least initial experience in third-party funding and science communication; willingness to learn German to ensure smooth communication with the entire GWZO in the long term; experience in the field
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propose a research project. The goal is to mature the doctoral project together within the one-year funding phase and acquire funding for it. The programme offers: a contract as a graduate assistant for 19
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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(e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Green hydrogen is key to decarbonizing many hard
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification
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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and
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projects in basic biomedical research and who wish to learn methods relevant to their current research. To this end, the grant finances the participation in practical training courses or short-term research