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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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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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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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to initiatives that: Embed a culture of inclusion and belonging. Support career development frameworks. Implement the Future of Work model. Drive operational excellence. You will be part of a dynamic collaborative
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of project technical lead. The appointee will be expected to provide leadership on the use of generative AI for developing the machine learning model, system integration and deployment, analysis and
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to these values ensures that we foster a culture of mutual respect, open collaboration, continuous learning, and innovative thinking. Join us at RCSI, where your contributions will be recognised, and you will be
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Responsibilities of the Post Conduct research and development on sign language recognition using computer vision and machine learning techniques. Lead the implementation of inference models suitable for mobile and
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and outstanding education are interlinked and equally valued. We are seeking a Senior Post-Doctoral Researcher to join the Geospatial Machine Learning (Geo-ML) project in the National Centre
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. - statistical and machine learning techniques for data analysis - atmospheric chemistry research - materials chemistry research - designing and conducting experimental test procedures. Achievement