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generations. We develop and share knowledge for the requirements of people and our society. This is how we contribute to solving complex social issues and help society move forward. We educate our 19,500
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and Management The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber
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platform, contribute to accelerating the realisation of PEDs? How can standards (e.g. in terms of data models and APIs) support this process, e.g. by streamlining data retrieval, integration and usage? How
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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge multimodal deep learning models that integrate imaging and clinical data
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related field, with relevant research experience in the field of digital twins or modelling and simulation for the design and development of complex systems. You should have excellent interpersonal and
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, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP) models to extract clinically meaningful
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
to ileostomy samples, Parkinson’s disease cohorts, and novel hydrogel/motility models. This approach allows us to reveal microbial processes that are difficult to capture with standard models, connecting patient
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new models that integrate EO data and advanced technologies such as AI into macroeconomic and socio-economic frameworks. Main research topics: conduct a global macroeconomic analysis of the global Earth
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Medical Center Utrecht (UMCU), Altrecht GGZ, and Avans Hogeschool. The project aims to explore how normative modeling and EEG-based brain monitoring can support early detection and personalized treatment