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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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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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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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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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. - 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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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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. The candidates should have a PhD in Chemistry, Medicinal Chemistry or Chemical Biology within the field of organic chemistry/supramolecular chemistry/chemical biology/biotechnology with an interest in
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and cognitive trajectories with the aim of helping to lower the age of diagnoses. Machine learning techniques will be applied to combine datasets to establish the best predictive models for children’s