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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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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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team. The scientist must hold a secondary degree in a relevant life sciences degree and a PhD in vaccine immunology. Experience in examining vaccine-induced immunity, multi-parameter flow cytometry
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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
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relating to climate change and its societal implications. It will develop an in-depth understanding of how people’s attitudes to climate change are shaped by their sources of information, social networks and
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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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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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Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and
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and this project aims to identify and isolate keystone bacteria involved in bile acid metabolism in the human large intestine in both healthy volunteers and people with inflammatory bowel disease
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Centre at University College Cork. The ideal candidate should be a quantitative, analytical researcher with a PhD in engineering, science, or economics, or a field related to energy, and a demonstrated