678 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions 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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may also be considered. Candidates should be aware of and meet the entry requirements for the university hosting the PhD studentship. Funding Notes The programme is four years and starts in September
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previous experience of using CFD would be useful but not essential. Funding Notes The programme is four years and starts in September 2026. Funding includes full UK fees, tax-free stipend (2025/2026 stipend
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ACCE+ DLA Programme: Engineering underground ecosystems for sustainable legume production School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Ellie Harrison, Prof
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BBSRC Yorkshire Bioscience DLA Programme: Tackling ageing in the gut: investigating the contribution of macrophages in the intestinal stem cell niche to gut maintenance and repair School
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BBSRC Yorkshire Bioscience DLA Programme: Directing Stem Cell Fate – The Role of Ribosomal RNA Modifications School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr E
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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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. Visit http://www.sheffield.ac.uk/sgs to learn more. Funding Notes First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form
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ACCE+ DLA Programme: Small size, big impact: the importance of mosses and lichens in arctic ecosystem function School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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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