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Trinity Research Doctoral Award (TRDA) Project: “Entangled Lewy – Disentangling the Lived Experience in Lewy Body Dementias” Trinity College Dublin invites applications for a four-year PhD position embedded
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in health and wellbeing. This practice-based research project will align with the University’s civic mission and its research priority on Arts and Health and will be embedded in the development of a
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continue to undertake initiatives to ensure that integrity, ethics and excellence are at the core of our research activities and fully embedded in our research culture. View All Vacancies
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continue to undertake initiatives to ensure that integrity, ethics and excellence are at the core of our research activities and fully embedded in our research culture. View All Vacancies
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embedded in the cross-disciplinary TRDA project Entangled Lewy. The project brings together Health Sciences, Engineering, Computer Science, Health Economics, Arts, Humanities and Social Sciences to develop
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, operational reconstructions of quantum theory, indefinite causal structures, extended Wigner's friend scenarios, and quantum reference frames. The team is embedded within the Quantum Optics, Quantum Nanophysics
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, operational reconstructions of quantum theory, indefinite causal structures, extended Wigner's friend scenarios, and quantum reference frames. The team is embedded within the Quantum Optics, Quantum Nanophysics
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theoretical results with real embedded system demonstrators. A successful outcome of the project is a methodology for distributed control architecture design resulting in resilient aerospace propulsion systems
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
in machine learning methods for pattern recognition and prediction. An academic or practical background in sleep science and/or elite sport is highly desirable. The candidate will be embedded within
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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of