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of adaptive methods for time-dependent partial differential equations (PDEs). The position is funded by the Dutch Research Council (NWO) via the Vidi research project Optimal adaptive spacetime boundary and
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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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://www.universiteitleiden.nl/en/staffmembers/laura-heitman#tab-1 at Leiden University! What you will do Project objectives are: Develop expression and purification methodologies for GPCRs Develop and optimize affinity selection
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neuroscience community at the Center for Neurogenomics and Neuroscience Research (CNCR) at VU Amsterdam, The Netherlands. We are a diverse group of enthusiastic molecular neuroscientists studying the processes
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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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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 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 for a truly
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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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approaches treat NP design as static property prediction. This project takes a fundamentally different approach: using generative models to propose novel NP formulations and coupling them with explainability