557 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
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of synchronised states using analytical and statistical techniques. Funding Notes This project is for self-funded or externally funded students only. References 1. Synchronisation of rotating turbulent (https://www
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application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References https://sheffield.ac.uk/biosciences/people/academic-staff/claire-turner https://sheffield.ac.uk
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., 2023). These challenges often begin during primary school and, if unresolved, persist into later learning and everyday numeracy. Fraction difficulties are closely tied to mathematics anxiety: children
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contact persons. For further Information, please email k.lohwasser@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd. Further
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Work arrangement Full-time Duration Fixed-term for 3 months, during summer 2026 Line manager Project grant holder Direct reports N/A Our website https://sheffield.ac.uk/cmbe For informal enquiries about
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(SITraN). Our mission is to uncover the genetic drivers of Amyotrophic Lateral Sclerosis (ALS) by integrating cutting-edge technologies, including single-cell epigenetic profiling and machine learning, with
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. Into the second year, the project moves toward methodology refinement and Machine Learning integration. The student will execute a more ambitious cycle with a complex alloy system and integrate machine learning
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-to-phenotype mapping, and interactions with landscape processes. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded
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protein machinery regulating vesicle docking, priming and fusion will be investigated. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References
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to produce similar ‘carbon-capture’ plants using gene-editing technology. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Open to Self