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stiffness. The project will be computational in nature, involving monomer-resolved simulations of such macromolecules, calculating properties such as diffusivities and relaxation functions and performing
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actionable musculoskeletal models and real-time risk assessments. For detailed information on the PhD project (PhaNuSpo#3- Kempe), information on the documents required for your application and a link to the
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). The project aims to create a synthetic population patients using Large Language Models (LLMs). These AI-generated patient profiles will be employed to develop and test interventions designed to increase vaccine
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stress and its therapeutic potential, utilizing in vitro cell-based and in vivo mouse models. The research incorporates advanced molecular and biochemical techniques to investigate these pathways. Please