657 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" uni jobs at University of Sheffield
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accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate
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/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
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might lead to the development of novel anti-cancer therapies. Preliminary data indicate that the degradation of ECM by cathepsin proteases is required for ECM internalisation. The overall aim
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their own funding. For fee status information, see https://sheffield.ac.uk/new-students/tuition-fees/fees-lookup#M An enhanced fee of £4000/annum will be applied to these fees to cover research expenses
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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
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for the project prior to submitting your application. [1] https://www.weforum.org/impact/carbon-footprint-manufacturing-industry/ [2] https://www.gov.uk/government/news/government-publishes-uks-third-climate-change
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that the toxin induces DNA damage responses in cultured cells that activates a senescence tumour suppressor mechanism (https://doi.org/10.1038/s41467-019-12064-1). Cells undergoing toxin-induced senescence undergo
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review, data analysis and elicitation processes to obtain model parameters. 7. Prepare research documents including research reports, project updates and briefing papers. 8. Communicate effectively with
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expertise of the wider lab including staff and students. Please see our website for more information about the lab: https://sites.google.com/sheffield.ac.uk/sheffieldcogdev/home Funding Notes Our entry
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mathematical ecosystem modelling with experimental data. Our lab strongly supports cross-disciplinary approaches to research. We straddle the clusters of Molecular Microbiology and Ecology and Evolution, and you