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to the Carefree Models Project , a large-scale initiative aimed at improving the resilience, efficiency, and sustainability of predictive models in process industries. Information Predictive models are central to
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healthy aging in families, and 2) the prediction of health outcomes in the general population using molecular, socioeconomic, and environmental data. You will work with very large, globally unique registry
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reported that a relatively high occipital Aβ burden—compared to global Aβ burden—predicted the presence of ARIA in their Phase III Donanemab trial, a common side effect of amyloid-targeting therapies (ATT
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of Biomedical Data Sciences and healthcampus The Hague, you will play a key role in studying 1) the concentration of socioeconomic differences in health and healthy aging in families, and 2) the prediction
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, prediction, lifestyle change and pharmaceutical therapy. Unfortunately, there is a major and critical lack of effective implementation, which consistently fail to reach individuals that would benefit the most
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an oncolytic adenovirus, with the aim of assessing their predictive value. In addition, you will be involved in trial-associated studies that map immune responses to OV treatment in patients. Where to apply
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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for follow-up projects and career development. This position offers the opportunity to understand how blood biomarkers and brain imaging can predict and track the impact of lifestyle on Alzheimer’s disease
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, and how plausible memory models can predict diverse quantitative data in linguistics and cognitive science. The project has two components: an empirical one and a computational one. The empirical strand
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Control Section is to perform research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control