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computational social science and computational mental health to capture fine-grained behavioral data, uncover underlying mechanisms, and design interventions that reduce harm, promote healthier information
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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states (e.g. greater domestic production versus imports, more vertical farming versus field-based etc.), 2) analyse the resilience of transformation pathways both in terms of systemic risks
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team and is interested in joining a programme of discovery research which aims to better our understanding of the underlying mechanisms that drive late-stage kidney damage in people with and without
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an inclusive community that is respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information
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for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Role This scheme offers up to 6
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or background. Together, we celebrate difference, value one another and are each responsible for creating an inclusive community that is respectful and fair for all. Find out more about the benefits of working
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difference, value one another and are each responsible for creating an inclusive community that is respectful and fair for all. Find out more about the benefits of working at the University and what it is like
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to plastic pollution in our oceans and soil, damaging the environment and ending up in the human food supply chain with potentially damaging health effects. About the role This is a collaborative project with
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the intricate application of known tools in the correct order, which can be tedious to find for a human. Machine assisted proof automation might be a big step forward in this field and allow us to consider much