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, DCU, DkIT, MU (lead) and UCC, with education technology providers to develop an innovative approach to teach students in the experimental sciences. The initiative is to develop courses in which a
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Intelligence (AI) and machine learning tools that can accelerate the creation of medicines for conditions that disproportionately affect those in developing countries, such as malaria and other tropical diseases
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is a four-year long European Research Council Starting Grant project led by Professor Dónal Hassett. It explores how colonized peoples grappled with the legacies of military service. It will develop
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of Computer Science & Information Technology (CSIT). The Centre comprises approximately 50 people working on networks, security and systems research. CSIT is a large, research-focused school, participating in many
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Professor Dónal Hassett. It explores how colonized peoples grappled with the legacies of military service. It will develop the first comprehensive and comparative account of colonial veterancy in what
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. The researcher will lead the ongoing development of a techno-economic Web-GIS tool for offshore renewable energy, secure competitive research funding, engage in the wider research activities of the ORE Group and
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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
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researcher to join the Centre for Sociology of Humans and Machines (SOHAM), which is directed by Professor Taha Yasseri and to join the team working on the IRC-Funded project ANNETTE (Artificial Intelligence
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moisture barrier properties to positively impact shelf-life extension, enhanced safety, and reduced food and packaging waste around low moisture, moisture-sensitive foods, thus addressing environmental
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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