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collaborative project that spans multiple continents. Your main role will be to develop advanced algorithms for multivariate, multi-resolution time series analysis of wearable and neurophysiological data spanning
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Data-Driven Numerical Modelling of Material Behaviour for Finite Element Simulation School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr G Torelli Application
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We are seeking to appoint an Assistant Professor (Teaching-Focused) with experience of developing or delivering modules or skills in the field of Data Engineering and Applied Analytics
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the wind/renewable energy training and research elements of the CDT programme. Funded by Statkraft and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of data
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As a data migration analyst, you will be part of a team who will be playing a crucial role in ERP implementation to ensure the accurate and complete transfer of data from the source systems to cloud
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robust IT tools and processes for data collection, analysis, and reporting, ensuring consistently high standards of accuracy. Supporting accreditation processes will be key as you compile critical reports
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flexible location principles, but there is an expectation that the post may also be required to be on campus on any day of the working week. We are looking to appoint a Data Development Consultant – Project
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terms of data robustness and security (https://www.data.cam.ac.uk/ ). Data cleaning and management tasks will require proficiency in coding in Stata, or willingness and ability to learn to code in Stata
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, including hybrid physics-informed approaches, to improve the estimation, monitoring and prediction of hydrological variables. Big data integration: Process and fuse multi-terabyte datasets, including
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 2 months ago
2026. The project. Forty‑two percent of working‑age adults in England struggle to understand everyday health information, creating serious barriers to informed medical decision‑making and patient safety