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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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sensors - if we can control and tune their properties. You will develop and use top-of-the-line machine learning models to predict the sensor response of these materials under realistic conditions
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), where heat is stored/released through reversible chemical reactions. This project focuses on NaOH water TCES systems, which use cheap, abundant materials [1]. We will develop modelling tools that combine
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that is still poorly understood. This project will develop advanced computational models to simulate a new imaging technique called electron ptychography, which can map magnetic fields in 3D at nanometre
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Energy’s Natural Hazards R&D Team, this project will utilise and develop state-of-the-art space simulations to probe past, present and future events to constrain extreme value distributions spanning hundreds
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Independent Living, a £14 million UKRI-funded programme aiming to develop next-generation digital and robotic technologies to support the health, mobility, and independence of older adults and people with
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biomarkers. Given compelling evidence that low-grade systemic inflammation contributes to both the development and persistence of CLBP, targeting diet, specifically through a plant-based, anti-inflammatory
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professional development opportunities A respectful and appreciative work environment within a diverse team Support and advisory services for health and work-life balance Additional benefits such as sports
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candidate who aims to prepare a doctoral dissertation in Sociology on the topic of ethnoracial educational inequality, under the supervision of Prof. Fanny D’hondt and Prof. Pieter-Paul Verhaeghe