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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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interdisciplinary as it supports the advancement of constraint programming, machine learning, and artificial intelligence domains. The Post-Doctoral Researcher will be expected to perform research and development in
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diversity is celebrated. As a University we strive to create a workplace that reflects the diversity of our student population where people from a wide variety of backgrounds learn from one another, share
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of Computer Science and Information Technology, to work on Insight Platform research in the area of multi-agent pathfinding in dynamic environments. In addition, the researcher may contribute to various other
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of Computer Science and Information Technology, to work on Insight Platform research in the area of LLMs and constraints – verifiable, reliable generative AI. In addition, the researcher may contribute to various other
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hosted by UCC’s new nasc research centre within the School of Computer Science & Information Technology (CSIT). The Centre comprises approximately 50 people working on networks, security and systems
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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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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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interdisciplinary as it supports the advancement of constraint programming, operations research and machine learning domains. The Senior Post-Doctoral Researcher will be expected to perform research and development
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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