610 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" PhD positions in United Kingdom
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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provide considerable training in chronobiology, signal transduction in plants, microbiology, and data analysis and interpretation. As part of the “MicroClock” programme funded through an ERC Synergy grant
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with existing population and demographic monitoring data held by the British Trust for Ornithology. Statistical modelling approaches will examine spatiotemporal changes in bird distributions in response
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perform outside the lab, how they are perceived and accepted by users, and how data from real-world deployments can inform the design of personalised support strategies. You will work closely with engineers
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Element: numberavailable - Unable to display element. Data must be XMTHL compliant - Exception: XML parser error CreateXmlDoc Fatal Error: at file Integration Server line: 1 column: 1009 message
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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comprehensive range of variables such as temporal states and viral strains. Taken together, this will produce a body of data that can then be used to develop diagnostic biomedical applications. Please get in
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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare
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technologies. More information about the group can be found at www.ANMSA.com . We are seeking highly motivated, bright and enthusiastic candidates with a strong background in micro/nanofabrication
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Other) The successful applicant would study an appropriate master’s degree, such as: MSc Data Science MSc in Social Data Science This project explores quantitative techniques that identify fake news