53 big-data-and-machine-learning-phd Postdoctoral positions at University College Cork
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, Android, iOS) for searching and interacting with cultural heritage data. • Building machine learning models for word-based recognition and processing of Yunnan ethnic minority languages. The researcher will
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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 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
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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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at cell level. With large-scale proliferation, sustainable and recyclable materials are needed to avoid used cell waste accumulation. Inspired by safe aqueous battery chemistries and development in
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handling, computational biology such as RNA sequencing and metabolomics and analysis of large datasets will be highly valued. The appointee will work directly with the Aburto Lab group. Our work focuses on