10 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "J" positions at University of Sheffield
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an interdisciplinary supervisory team and an established Advisory Programme. The student will join the well-funded and friendly Whitfield lab (see blog). Please apply for this project using this link: https
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-performance simulation. Training & Development Your training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It
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, Sensors, 2023, 23(185), p1-22, DOI: https://doi.org/10.3390/s23010185 [3] Angela J. Nagle, Gerard Mullally, Paul G. Leahy, Niall P. Dunphy, Life cycle assessment of the use of decommissioned wind blades in
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and statistics (ideally using R programming, but training will be provided so prior experience with R is not a requirement) We are seeking a candidate with a strong collaborative ethos, who would be
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for the future of floating offshore wind. Training & Development Your training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four
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G & Ton J (2025) DOI: 10.1016/j.tplants.2024.09.008. 5. https://sheffield.ac.uk/biosciences/people/academic-staff/jurriaan-ton View DetailsEmail EnquiryApply Online
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. Furci L et al. & Ton J (2019) DOI: 10.7554/eLife.40655 3. Parker AH, Wilkinson SW & Ton J (2022) DOI: 10.1111/nph.17699 4. Wilkinson SM et al. & Ton J (2013) DOI: 10.1038/s41477-022-01313-9 5. https
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of Sheffield and Utrecht. Experience in plant metabolomics, transcriptomics, and/or programming (R/Python) is desirable. We welcome candidates from diverse backgrounds who enjoy combining wet-lab and omics
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generation of environmental practitioners. For more details and a full list of other PhD projects under this programme, visit: https://ecosolutions.sites.sheffield.ac.uk/ How to apply: For more information on
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Patrick