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position; have a solid academic background or research interest in legal studies; have knowledge of empirical methods; experience in quantitative methods will be an advantage; have excellent oral and written
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satisfaction, essential energy use, life expectancy). Moreover, survey data can be used to analyse wellbeing indicators beyond the formal production-consumption sphere, including leisure time, unpaid work and
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Opportunity for two highly motivated PhD candidates to join the Ombion project! Your job The Ombion project, formally known as Centre for Animal-Free Biomedical Translation, is funded by
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neighborhoods, energy hubs, and communities. By integrating simulations, participatory methods, and co-creation with stakeholders, SYNERGY produces actionable knowledge, tools, and process interventions. It
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solid academic background or research interest in legal studies; have knowledge of empirical methods; experience in quantitative methods will be an advantage; have excellent oral and written skills in
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and societal partners in migration and urban studies. A comprehensive training programme combining theoretical courses, advanced methods, and transferable skills. Joint supervision by leading academic
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probabilistic methods. Some familiarty with Finite Geometry will be advantageous. Mathematical Maturity: Ability to write mathematical proofs and formal texts as evidenced by a master's thesis report or similar
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developing new explanation methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as
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discrete-event systems, supervisory control theory, and formal methods to apply for the PhD position within the Supervisory Control group (see Group Supervisory Control ), which is part of the Control
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understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve