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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
addressing important data-driven applications in medicine, engineering, and the physical sciences, on the basis that important applications foster novel algorithms which in turn enable new applications
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studies on multiple pilot sites. • Undertake and support laboratory analysis on collected samples inc. nutritional, physiological, molecular, and food quality. • Assist with sustainability assessments inc
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to the development of a state-of-the-art population-based analytic data system that serves multiple needs of decision support, population monitoring, and comparative effectiveness research The position is based
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focusing on ensuring a just transition to a circular economy in Ireland’s food and fashion industries, with a focus on resource recovery. This project will have multiple parts to it including mapping
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yet are essential to account for their nature and functioning. The post-doctoral researcher will work with the Research Team to address this lacuna through comprehensive analysis across multiple in
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work well within a team. Senior Post-Doctoral Researcher: A relevant PhD qualification and significant experience in transdisciplinary or engaged research on societal transitions involving multiple
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the diagnosis and long-term monitoring of patients with Multiple Sclerosis (MS). This project follows a cohort of patients with MS with a dataset of measures at regular intervals including traditional clinical
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PhD qualification and significant experience in transdisciplinary or engaged research on societal transitions involving multiple actors, preferably in the marine sciences. Extensive competence and
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and operational activities across multiple teams and partners; managing major project milestones, budgets, and reporting; supporting the acquisition of external funding; ensuring scientific excellence
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from multiple high-income countries, including the UK (UKHLS), Germany (SOEP), Australia (HILDA), and the US (PSID), alongside ageing studies such as SHARE, ELSA, and TILDA. Where feasible