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on an existing experiment design. This will allow the student to familiarise themselves with the relevant Physics, literature, Fortran code, Python analysis tools, and simulation setup while providing a valuable
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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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requisitions where appropriate, goods receipting, and coding purchasing cards. Provide administrative support for recruitment activities, including job postings, application processing, interview coordination
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standards. Advise on the application of the Universityʼs Code of Practice for PGR degrees and other procedures, including liaising with Professional Services. Support the administration of internal and
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careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes First class or upper
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emerging offshore wind sector needs. You will receive in-house training on multiphase DEM–LBM modelling and code development using the HYBIRD framework within the Geotechnical Engineering Group. Additional
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will also be considered. References Korsós et al., ApJL 802 L21 (2015) https://iopscience.iop.org/article/10.1088/2041-8205/802/2/L21 Korsós, Chatterjee, Erdélyi, ApJ 857 103 (2018) https
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Electrodes (Nextrode). This project brings together lithium-ion electrode manufacturing expertise from Universities across the UK (Oxford, Birmingham, Warwick, Southampton and UCL). As Research Associate in
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Efficient coding in touch: Exploring cortical feature tuning in the somatosensory system through the lens of efficient coding School of Psychology PhD Research Project Self Funded Dr Hannes Saal
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see the University page on English Language requirements for Postgraduate courses: https://sheffield.ac.uk/postgraduate/english-language Proposed start date: 01 October 2026 How to apply: Please