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, i.e., measurements in blood that can predict individuals' cognitive development in aging and their risk of dementia. Such markers will be important for better personalizing prevention and treatment
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to build sequence dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming
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