636 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" uni jobs at University of Sheffield
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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 apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the University of Sheffield but should note that
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AI-Enhanced Healthcare - Leveraging Multimodal Data Integration for Impactful Innovation School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Mohammad
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and workshops to campus-based students, and to produce and mark assessments on core and optional modules across our Data Science UG and PGT programmes such as: Data Analysis; Big Data Analytics
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macropinosomes to retrieve membrane proteins and therefore sustain both immune and cancer cell function. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
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For more information or to apply, please contact Dr Rory Cooper at r.l.cooper@sheffield.ac.uk Lab website: https://rorylcooper.wordpress.com/ Institution website: https://www.sheffield.ac.uk/biosciences
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transductions. Funding Notes Self-Funded Students only References https://sites.google.com/sheffield.ac.uk/peden-lab https://etheses.whiterose.ac.uk/28686/ View DetailsEmail EnquiryApply Online
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of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk
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bright points to solar jets, called spicules. The study will involve mathematical modelling complemented with observational data analysis using high spatial, temporal and spectral resolution solar
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, November, 427–435. https://doi.org/10.1201/9781003558859-47 [2] Rui, S., Xu, H., Teng, L., Xi, C., Sun, X., Zhang, H., & Shen, K. (2023). A Framework for Mooring and Anchor Design in Sand Considering Seabed