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, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data and processes guided by principles
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expected to have a strong foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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, including statistical techniques, bias detection, clustering, and risk modelling, to handle large, complex datasets in a reproducible and reliable manner, Autonomous systems, robotics, or transportation
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using phenotypic information derived from the electronic clinical records for large populations with long term conditions. The post holder will undertake translational research to address health
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the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures
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information derived from the electronic clinical records for large populations with long term conditions. The post holder will undertake translational research to address health priorities in UK and low- and
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and master's level in engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's
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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social
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on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work