613 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "UNIV" positions at University of Sheffield
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, numerate subject (such as maths and physics), including Matlab programming. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
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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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Investigating how DNA damage responses combat infections by the typhoid pathogen Salmonella enterica
Srour et al. 2025, EMBO Mol Med (https://doi.org/10.1038/s44321-025-00347-8) ElGhazaly et al., 2023, Cell Reports (https://doi.org/10.1016/j.celrep.2023.113181) Ibler et al. 2023, Nat Commun (https
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, including computer vision and machine vision. As a project engineer, you will ensure successful project delivery, delivering continuous improvements to IMG processes and build AMRC’s reputation in computer
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collaboration with Special Melted Products (https://specialmeltedproducts.com/) using the unique Royce metals processing capabilities in Sheffield (https://sheffield.ac.uk/royce-institute), that range from alloy
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neurological and cardiovascular disorders. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References GONZÁLEZ-SANTANA, A., ESTÉVEZ-HERRERA, J., SEWARD
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backgrounds with a degree in molecular biology/bioinformatics and a broad interest in epigenetics and genome informatics. Experience with programming and sequencing data analysis is highly desirable
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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A PhD (or equivalent research work experience) in a quantitative discipline related to the research programme e.g. health economics, labour economics, simulation or systems modelling, data science on
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these gaps by combining quantitative, computational, and implementation-focused approaches. The project has two interconnected strands. The first strand focuses on evaluating the feasibility and acceptability