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challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to
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Scale (pro rata 0.7FTE) For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Dr. Paul Holloway, Senior Lecturer
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at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic models of impurity-host coupling and identifying optical signatures of correlated and
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highly impactful biomedical informatics research that presents new innovations in methods and novel findings that inform disease etiology. The candidate should be interested in focusing on multi-omic
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methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
performance requirements of Trinity One. In addition, the candidate is expected to develop a strong and visible research program that connects Trinity’s neutrino observations with the broader multi-messenger
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research fellows to join a multi-year research initiative sponsored by the Bezos Earth Fund . This project aims to develop and deploy advanced AI-driven learning, prediction, and decision-making tools
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scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial intelligence models. The PD will work closely with both the PhD candidates and PIs within
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the leadership of Professor Rhiannon Owen. The Population Data Science group is home to leading researchers, data scientists and statisticians who focus on making the best use of large-scale multi-dimensional data
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. The Built Environment and Sustainable Technologies (BEST) Research Institute is seeking a highly motivated Research Fellow in Automation and Control to support the advancement and scaling of biomanufacturing