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, initially through a two-year feasibility project, to extend institutional capacity for pedagogical innovation and research and to strengthen translation of effective evidence-based innovations into teaching
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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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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delivery of the DAFM-funded project, Farming Minds: Developing evidence based interventions to enhance farmer mental health. The successful candidate will play a critical, leading role in the trial
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AMBER -Industry partner collaborative funded research position: The postdoctoral research position will be based in the Lally Lab (http://www.lallylab.eu) within the Trinity Centre for Biomedical
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work with the PI (Prof. Iris Möller) in ensuring delivery of the PEACEPLUS ‘CMAP’ (Coastal Monitoring and Adaptation Planning) project as part of the Trinity Coastal Research Group based in Geography
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AMBER -Industry partner collaborative funded research position: The postdoctoral research position will be based in the Lally Lab (http://www.lallylab.eu) within the Trinity Centre for Biomedical
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innovation projects into SMEs across the border region. Essential Qualifications PhD in Electronic Engineering, Telecommunications, Computer Engineering or a related field or exceptionally, equivalent
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review where gaps are identified in knowledge or understanding of a topic To be successful in this role you will need: • Postgraduate qualification / research experience in relevant field, PhD