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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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methods to model the flow-on impacts of different hospital initiatives from ED presentation through to hospital discharge, and subsequent impacts on patient and health system outcomes. By modelling patient
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Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses
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– Robustness of dehydration detection: Examine the consistency of saliva-based dehydration detection across different dehydration models and participant cohorts, including sport and occupational settings
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interpretable models of molecular disease mechanisms, with a focus on identifying proteins and pathways involved in cardiovascular disease. PhD project: Causal multi-omics modeling of disease biology We
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antimicrobial resistance (AMR), but the biological mechanisms remain poorly understood. This project asks how temperature shapes selection for resistance across different antibiotics, strains, and species
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mechanisms. This project aims at dissecting the mode of action of different osmolytes using human cellular model systems and C. elegans as a model of organismal aging. We would like to address the following
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at the interface of biophysical modeling, soft matter and cell mechanobiology at the Groningen Research Institute of Pharmacy, within the Faculty of Science and Engineering at the University of Groningen. What