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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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prediction models and risk assessment frameworks describing the dynamics and interactions of spoilage microorganisms and pathogens including Listeria monocytogenes and Bacillus cereus in plant-based products
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recordings to test new models of brain-body interaction. We will also explore whether rhythmic stimulation can enhance cognitive performance. The project will give you the opportunity to work at the cutting
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Vacancies PhD positions (3x) on RF/Microwave Gallium Nitride (GaN) MMIC design and test Key takeaways Gallium Nitride: covering the entire chain from device modelling and characterisation, MMIC
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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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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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of patients to creating in-vitro 3D models and using artificial intelligence for imaging.s pelvic floor complaints (prolapse and full ruptures) and to optimise existing treatments, for example with
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Gallium Nitride: covering the entire chain from device modelling and
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of methane dynamics in rapidly changing ecosystems and contribute to improving predictive models of future methane emissions. Field sampling will focus on regions where methane cycling is still poorly
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dune development and increase the applicability of coastal dune models. Your job In this project, you will investigate dune erosion and growth by performing morphological analysis on existing coastal