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analysis and extreme value theory, as part of the NWO-funded project “Seeing beyond the study duration: extreme value theory for long term survival and cure chances”. This project will develop statistical
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analysis. Your work Examine how delegating work to AI affects leaders' work, team dynamics, AI overreliance and disclosure, implicit theories and mindsets related to digital teams, and critical scrutiny
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effectively with such long-term futures. CAMELOT investigates the capacities that enable individuals, groups, and institutions to think about and govern for the long term. The project develops new theory
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combining theory, research, and design practice Enthusiastic about connecting with people and engaging with real-world societal challenges Willing to contribute to a positive work atmosphere Emphasis will be
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, Communications Engineering, or a related field. Strong knowledge of Information Theory, in particular Shannon Theory. Knowledge of coding theory. Interest in mathematics. Knowledge of artificial intelligence is a
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, from fundamental theory, laboratory experiments, and detailed numerical simulations, to mesoscale pore network modeling and upscaling to continuum-scale theories that can be applied in application
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Python programming. ● Experience in monitoring code performance. ● 3 or more years of demonstrable experience in machine learning theory. ● Excellent communication and teamwork skills. ● Proficiency in
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litigation at the national and EU levels, as well as to how these forms of political participation interact with and shape EU politics of belonging. The research will draw on EU studies, social movement theory
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institutions to think about and govern for the long term. The project develops new theory on long-term governance capacities and studies whether and how such capacities can be strengthened through experimental
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particular Shannon Theory. Knowledge of coding theory. Interest in mathematics. Knowledge of artificial intelligence is a bonus. Our offer Collaboration with leading researchers at TUM and TU Dresden