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-fidelity Digital Twin, that will become a generic modelling and simulation platform to study (patho)physiology of brain perfusion and related processes (metabolism, infarction, oedema, bleeding in the brain
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of electronic band structures and gaps. These 2D materials show great potential for high-performance avalanche photodetectors (APDs), promising a new paradigm in ultrahigh gain and low-noise detectors, operable
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are you going to do? In this interdisciplinary PhD project, you will use a combination of ex vivo models and samples from Parkinson’s patients. You will employ advanced imaging, electrophysiology, and
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, building on recent developments on VAE and diffusion models, we focus on the role of physics in generative models. In generative AI, images, text or other data such as molecules are generated by learning
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an integrative, cross-species approach combining laminar ensemble recordings (single-unit resolution), multi-fiber photometry and optogenetics in mice, and laminar functional magnetic resonance imaging (fMRI) at 7
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Data quality has persisted as a prominent concern for organizations over several decades. Yet, the recent strides made in the data-centric AI paradigm have reemphasized the critical nature of data
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to improve their position online. This PhD position focuses on this second aspect and examines how digital curators select, craft, and assemble images and text to represent places on digital platforms. Just as
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Brain Aneurysm Treatment Aim: Develop and validate high-fidelity simulation tools designed to optimize planning, prediction, and decision-making processes related to clinical interventions in treating
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gigahertz spectroscopy, and different types of microscopic imaging. You will learn how to use these methods, how to analyze the results, and write articles and give presentations reporting on your results