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24 Months, Specific Purpose, Whole-Time Post Position Summary We are seeking an experienced Research Fellow in energy systems and climate-informed modelling to contribute primarily
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
breakthroughs into commercial healthcare solutions. In the ICUSafeNotes project, we are conducting research and development of multimodal machine learning models that includes ICU note summarisation and analysis
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research opportunity focuses on the development and implementation of an innovative cybersecurity curriculum designed for upper primary and lower secondary education, based on the junior cycle cybersecurity
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, incorporating electronic, thermo-fluid models, and efficiency models (ii) BMS-BTMS operation policy design, which will be based on optimal control techniques and will focus on both electric power
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base to our research as well as national and international experts in the areas of viral immune evasion, structural biology and the molecular basis of interferonopathies. Our key focus is on
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2D materials and covalently interconnected networks for next-generation electronic applications. The position will be based in TCD, in the School of Physics and the CRANN and AMBER Research Centres
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-generation electronic applications. The position will be based in TCD, in the School of Physics and the CRANN and AMBER Research Centres (Coleman labs). Prof Jonathan Coleman FRS is a senior professor in the
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. The successful candidate will contribute to the AI model design, implementation, and evaluation, and work closely with stakeholders including Deaf community members, project managers, UI/UX designers, and an
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nanomaterials. This will be achieved by developing and codifying DES-based routes to key classes of environmentally relevant nanomaterials, including (photo)electrocatalytic metal oxides; phosphate-based
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recommendations for a model of healthcare for migrants seeking international protection in the Dublin and Midlands region who are resident in congregate settings. This collaborative project across Trinity College