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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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should have a background in Finance, Financial Economics, FinTech, Sustainable Finance, Computer Science or related disciplines. This role places a strong emphasis on machine learning applications in asset
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new machine learning methods to integrate remote sensing of farm habitats with ground level scoring of farm biodiversity value but many issues still need to be considered. This Post Doc presents
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emphasis on machine learning applications in asset pricing and corporate finance, alongside traditional econometric and factor modelling techniques. The successful candidate will play a pivotal role in
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machine learning will complement experiments to accelerate material optimisation, with applications in hydrogen fuel cells and sustainable energy systems Where to apply Website https://tus.ie/rdi/research
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emphasis on machine learning applications in asset pricing and corporate finance, alongside traditional econometric and factor modelling techniques. The successful candidate will play a pivotal role in
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experience Evidence of experience with public-patient involvement and stakeholder engagement Track record in scientific publication and dissemination Experience with Machine Learning Algorithms and Artificial
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): Research experience with literature review, data collection from different stakeholder groups. Advanced skills in using Stata or R. Machine Learning experience Artificial Intelligence Excellent written, oral
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leadership on the use of generative AI for developing the machine learning model, system integration and deployment, analysis and optimisation, working closely with the Principal Investigator and managing
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at Trinity College Dublin (TCD) seeks to appoint an outstanding, enthusiastic, and highly motivated Research Fellow who will contribute to a project that uses machine-learning methods to forecast