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Field
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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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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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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
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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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, 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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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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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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large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences experienced by readers and viewers when working with
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
microbiome function in health and disease. We focus on the small intestine (ileum) and colon, using access to ileostomy samples, Parkinson’s disease cohorts, and novel hydrogel/motility models. This approach
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tend to be static, ambiguous, and insufficiently contextualised to complex and fast-changing environments. In this project, we develop two research lines. The first investigates the opportunities and