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Bilevel programming (BP) is a powerful mathematical framework for modeling hierarchical decision-making processes involving two players: a leader and a follower. In energy network design, for example
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water remain poorly understood. These interactions shape local weather extremes and climate variability, but current models miss them. QUASI turns Lake Victoria—Earth’s largest tropical lake—into an open
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and alignment of large language models (LLMs). In the last few years, LLMs found wide adoption in many areas of societal life. Their development, however, requires access to a vast amount of data and
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sociology, you will explore how individuals and communities maintain well-being while engaging in collective action. Your job The project investigates social movements at different scales (local, identity
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related to endocrinology and/or genetics (preferred); the social skills to motivate people from different backgrounds and facilitate team-work; substantial and demonstrable experience with academic writing
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. The core tasks will include: Carrying out research within the scope of the research programme; Translating and communicating research findings and scientific insights to different types of audiences
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research findings and scientific insights to different types of audiences, including scientific, professional and community audiences; Collaborating with the chair holders and colleagues in the team to work
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sustainable commuting: walking, cycling, and public transport. A monthly internet allowance of €25. An options model in which you exchange benefits for things such as additional leave, more pension, a bicycle
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the project’s analytical framework. Co-develop and support research activities related to governance models, investment prioritisation, and EU alignment pathways. Assist in translating research findings
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging