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Assistants with excellent interviewing skills to support the current phase of data collection for a large ongoing longitudinal twin study. The Environmental Risk (E-Risk) Longitudinal Twin Study (see https
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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experience/expertise in transfer learning for SHM data; preferably, kernel-based, neural network and Bayesian. Essential Interview Experience and track record in code writing for engineering problems in e.g
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refurbishment. Further information may be found at: http://www.kcl.ac.uk/physics About the role The FCPA research assistant primary role will consist of investigating Sagnac interferometry for fibre
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practices. Durham University is committed to the Concordat to support the career development of researchers. For further information please visit the Research Staff web pages on https://www.durham.ac.uk
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explored to extend it beyond this initial period. To be successful you will need a track record of developing, testing, and delivering high quality code to tight deadlines, to solve engineering problems
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Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments/academic/engineering/research/ ). We are particularly proud
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reports, simulations, analysis, code samples, or documentation (multiple references are considered beneficial). The above duties are not exhaustive; the PhD candidate may be required to undertake other
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modelling, and advanced regression techniques, ensuring transparency and reproducibility. Use and maintain high standards of coding practice for data processing and analysis, preferably using R, including
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a TOTUM card, by showing an employee pass in selected local stores, or online by using any of the listed discount codes Childcare services - We offer excellent childcare services including five