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under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships References Vaci, N., Edelsbrunner, P., Stern, E., Neubauer, A., Bilalić, M., & Grabner, R
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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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/interview Experience in battery fabrication and testing. Essential Application/interview Ability to work unaided, to analyse, interpret and discuss experimental results, prioritise and plan continuation work
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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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about this project. Funding Notes We welcome inquiries from: - applicants that have already secured PhD funding - self-funded applicants References https://microbialphysicsgroup.sites.sheffield.ac.uk
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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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research group. We believe that by helping each other, and fostering a collaborative, open team, we help each other achieve our goals. Diverse teams are not only fairer, but also more effective (e.g. https
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funding. References 1. Small-scale reconstruction in three-dimensional Kolmogorov flows using four-dimensional variational data assimilation (https://www.cambridge.org/core/journals/journal-of-fluid
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-funding, however, it other grant funding may arise such applications will also be considered. References For further reading see e.g., De Pontieu, Erdelyi and James, Nature 430, pages 536–539 (2004) https
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find a list of references to explore more: https://ffea.bitbucket.io/ We particularly recommend this review which sets the scene for this project: Gravett, M. S. C., Cocking R. C., Curd A. P., Harlen O