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with resistance will be further explored using comparative OMICs approaches, including but not limited to transcriptomics, proteomics, and metabolomics. The ideal candidate will have a PhD in Biology
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, multivariate statistics and machine learning (ML). Our lab has accumulated several large published and unpublished microbiome datasets originating in various body sites, including longitudinally collected
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attainment. The ideal candidate will have a PhD in a relevant discipline, with strong community research and qualitative analytical skills, and a background in climate and/or energy transition
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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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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
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hold a PhD degree in Food Science, Packaging Science, Chemistry, Material sciences, Food Engineering or a related science discipline. Experience in packaging science, shelf-life analysis, chemical
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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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environment/network of the university more widely. In the evaluation of the applications, emphasis will be placed on: • PhD degree (awarded) in ethnomusicology, folklore or other closely related areas
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diversification, and demand control strategies are quantified. The ideal candidate will have a PhD in engineering, science, or economics, with strong quantitative and analytical skills, and a background in energy
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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