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through other channels. Person Specification: PhD in a discipline with a quantitative background, including statistics, data science, health science, epidemiology or a related areas. Experience in data
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify
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, Experience in setting own research agenda Additional Information Eligibility criteria Mandatory: *PhD in Occupational Health, Occupational Safety and Health, Environmental Health, Public Health, Epidemiology
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protection experts, health system, and public health, as innovators to develop a multi-purpose registry that simultaneously serves population monitoring and management, clinical and patient decision-making
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, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and have an agreed role in supporting these students in their day to day research in
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will be expected to perform research and development in these areas, within an established group of researchers, PhD students, MSc students and undergraduate final year students. Two applications will be
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in conjunction with key industry partners, it represents a seamless collaboration between UCC, Teagasc Moorepark. It is widely recognised that the gut microbiota plays an important role in human health
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the area constraint programming, machine learning, and artificial intelligence within an established group of researchers and PhD students. The nature and structure of the Phase 2 Research Ireland Centre
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silico work, including sequence design, data analysis, experimental planning, and writing publications. The postdoc will work closely with the PI and a PhD student. An ideal candidate must hold, or be
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cancers and inflammatory conditions. The research project is supported by a Research Ireland-funded Frontiers for the Future Award programme. We are seeking highly motivated candidates with a PhD and