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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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successful candidate must have a PhD in Economics with research expertise in behavioural economics applied to transport or energy. Application Procedure Candidates should submit the below documentation via
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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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structured learning, mentorship, pilot project development, and engagement with clinical and community settings. Upon completing the program, fellows join a lifelong global network of Atlantic Fellows working
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structured learning, mentorship, pilot project development, and engagement with clinical and community settings. Upon completing the program, fellows join a lifelong global network of Atlantic Fellows working
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the global impact of dementia, with particular emphasis on underserved and marginalised communities. Fellows engage in an immersive academic and experiential curriculum combining structured learning