302 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Sheffield
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd
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analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: A central question in the study of
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acids institute (https://sheffield.ac.uk/nucleic-acids) and the centre for Single Molecule biology (https://smash.sites.sheffield.ac.uk/), providing additional expertise. This project will contribute
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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 training in
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universities. We are always looking to work with talented and motivated scientists. Funding Notes This project is for Self-funded students or students with external funding. References https://sheffield.ac.uk
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: Join an exciting
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Reports) https://doi.org/10.1038/s41598-024-82112-4 Ly et al. (2021) – Predictive haptic guidance in shared control (IEEE RO-MAN) https://ieeexplore.ieee.org/abstract/document/9515326 Singh et al. (2020
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areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project
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Bugging Out: When AI loses the Plot – Detecting and Taming Hallucinations in LLM-Generated Code (S3.5-COM-Wang) School of Computer Science PhD Research Project Competition Funded Students Worldwide