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respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page Discover more about
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limits of Symbolic Regression (SR). SR is an emerging area of artificial intelligence that discovers interpretable mathematical relationships directly from data. You will lead the algorithmic and
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science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and entrepreneurship
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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social and ecological data on biodiversity and other benefits of perennial agricultural features. We seek candidates with expertise in landscape ecology, agroecology, agrobiodiversity, ecosystem services
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3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
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, developing and applying AI technology to large medical images and genetic data for understanding brain development and aging, and precision psychiatry. In the past years, the laboratory has conducted various
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centre at the University of Oxford. The fellow will work primarily on a large-scale cluster-randomised controlled trial in northern Bangladesh evaluating the impact and cost-efficiency of anticipatory cash
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for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming
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, data scientists, and scientific programmers. The activities carried out by the team range from advancing AI innovations through big data, empowering biomedical and clinical sciences through team science