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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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-centred AI applications. This position is highly interdisciplinary as it supports the advancement of data visualisation, machine learning, and artificial intelligence domains. The Post-Doctoral Researcher
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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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. These posts are suitable for newly qualified PhD's in areas such as health professions’ education, sustainability education, health services research, public health, psychology, sociology, etc. Experience
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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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. To engage in the wider research activities of the Research Group, 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
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closely with the PI and a PhD student. An ideal candidate must hold, or be on the verge of holding, a PhD in a relevant field, such as DNA nanotechnology, computer science, bioengineering, synthetic biology
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state of the art climate services for Ireland. The successful candidate will work with the PI Prof. Conor Murphy, and collaborators Prof. Peter Thorne and Dr. Amr Mahfouz, together with a PhD researcher
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reviews, large-scale survey, interview/focus groups studies, co-design, consensus building, implementation and evaluation studies. These posts are suitable for newly qualified PhDs in areas such as health