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in the area of operations research, constraint programming & machine learning within an established group of researchers and PhD students. Project Title: Insight Post Duration: 6 Months Whole-Time
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medicines Please note: The postholder will be based at the ATU Donegal, Letterkenny Campus. Essential Qualifications Minimum PhD (or near completion) in Health Informatics, Data Science, Clinical Research
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Postdoctoral Researcher-Data Scientist in Global Health, College of Medicine, Nursing & Health Scien
About University of Galway Established in 1845, University of Galway is a research-intensive institution ranked among the top 2% of universities in the world with an annual investment in research of almost €90m. Comprised of four colleges, 18 schools and six research institutes, the University...
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programming, machine learning, and artificial intelligence domains. The Post-Doctoral Researcher will be expected to perform research and development in the area constraint programming, machine learning, and
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Léann Na Gaeilge (School of Irish Learning). (There are two posts available within this project.) The aim of the Disappearing Text Project, based in the Department of Early and Medieval Irish at
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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 Our lab has accumulated several large published and unpublished microbiome datasets originating in various body sites, including longitudinally collected
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. - 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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, multivariate statistics and machine learning (ML). Our lab has accumulated several large published and unpublished microbiome datasets from various body sites, including longitudinally collected samples
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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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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