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mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home
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successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given. You will join a large and friendly Mechanical Engineering department and work
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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completion) relevant to research area (immunology). Expertise in flowcytometry and/or fluorescent microscopy. High level of analytical capability, especially in the understanding and analysis of large data
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and
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different ML architectures for postprocessing precipitation forecasts over India. Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing skill for heavy
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University to focus on data collection in the North East. The two research fellows will work closely together. You will have a PhD (or near to competion) in Nutritional Epidemiology or a closely allied
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About us Our Big Data in Health team at the University of Southampton is based in the Primary Care Research Centre. We are an interdisciplinary group conducting innovative research to address
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following skills and experience: Essential criteria PhD qualified in relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R