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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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to extend the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way
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builds on our recent works (https://www.nature.com/articles/s41467-025-65282-1 and https://www.nature.com/articles/nature20605 ). Join our team in the https://pomplunlab.com and https
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. In this project, we aim to prove the concept of hard/soft concrete composites. The research will include: Computational modelling and optimization of concrete architectures Experimental testing and
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the Commencing CRISPR Commons project, funded by the Gates Foundation, which aims to establish a plant‑optimized, freedom‑to‑operate genome editing platform based on the ThermoCas9 nuclease. CRISPR/Cas systems
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on the results of the Erasmus+ project EDDIE. When it comes to the research part: This PostDoc project explores how artificial intelligence (AI) can be leveraged to optimize energy portfolios for local energy
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-based optimization) for NP formulation design, targeting specific therapeutic outcomes such as blood-brain barrier permeability and tumour accumulation. Couple generative models with counterfactual
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leader and follower decisions. We are seeking for a motivated and enthusiastic Postdoc (PD) researcher to join the Combinatorial Optimization group (https://www.tue.nl/en/research/research-groups
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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and