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research project Optimal adaptive spacetime boundary and finite element methods. The project focuses on the design, numerical analysis, and implementation of novel numerical algorithms to efficiently solve
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for monitoring the built environment. While InSAR readily produces large volumes of application-agnostic (“double-A”) deformation products, these are inherently ambiguous and sub-optimal for decision-making in
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and implement novel computational strategies that combine physics-based modeling, optimization techniques, and machine learning approaches to improve cryo-ET image processing workflows. This includes
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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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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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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved
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that control synaptic transmission and plasticity at various levels and using a variety of techniques and analysis tools that we developed. Where to apply Website https://www.academictransfer.com/en/jobs/359921
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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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. 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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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