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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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, meticulous and proactive. This role requires excellent communication and interpersonal skills, computer literacy, organisation and an awareness of time management. Project Title: Cancer Research @ UCC / Cancer
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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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virtual laboratory experience is complemented with a real laboratory experience (blended approach). Our aim is to help reinforce practical techniques and concepts and support enquiry-based learning
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communication and interpersonal skills, computer literacy, organization and an awareness of time management. EXPERIENCE REQUIRED: • Qualified Nurse (Mandatory RGN, BSc,). • Oncology background
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portfolio of studies taking place in the Cancer Trials Cork Unit at the Cork University Hospital. This role requires excellent communication and interpersonal skills, computer literacy, organisation and an
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computer workstations, 300+ websites, research infrastructure and a customer base of more than 30,000 users. In addition, it provides and supports the University’s business systems and Teaching and Learning
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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