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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length
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, applying advanced modeling techniques and analyzing large-scale datasets to contribute to healthcare policy decisions. The PhD project will be supervised by Dr. Nora Franzen and Professor Maarten J. IJzerman
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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actors involved in managing public space? How can they adapt to dynamic societal needs and increasing spatial interdependencies? What institutional models promote more efficient, equitable and resilient
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behavior, resolver interactions, and dependency modeling. This project builds on ongoing collaborations with both national and international partners, including SIDN and TNO in the Netherlands, CAIDA in
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post-zygotic aneuploidy arises in mammalian embryos and its consequences during early pregnancy. You will primarily work with equine embryos, which represent a valuable model for studying post-zygotic
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network in adversarial situations? How to model the military supply logistics concepts taking into account adversarial actions? What are optimal and robust network topologies for a supply logistics concept
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year
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are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
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of limited value. An eHTA requires building a health-economic model and scenario analyses, which will help determine the plausible range of health improvements and cost consequences. As more data become