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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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the local electricity system, while acquiring academic perspectives? Information This position is dual fold and has both a teaching and a research related aspect. Power networks are critical
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to ESA’s strategy; a wide network of relationships and collaboration with top academics, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities. As an internal
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(Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine cutting edge observations
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implementation, ensuring uptake in policy, healthcare practice and decision-making. The position is offered for 24 months, with a preferred start date of 1 May 2026. Where to apply Website https
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-of-the-art infrastructure and data engineering support from the UvA Informatics Institute and Psychology Research Institute. Network expansion: You will collaborate with Studio Bertels and a high-level expert
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to advance the resiliency and reliability of beyond-5G/6G networks. The candidate is expected to work on the European project PHRESH (https://itea4.org/index.php/project/phresh.html ) and the Dutch National
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language processing, or network-based analyses What else do we offer you You will work with a rare, multi-source dataset and a project that is at an advanced stage, so your contributions can quickly become visible
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will directly support the energy transition by creating future-proof learning environments that prepare professionals for emerging roles in the hydrogen economy. Where to apply Website https
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding