688 data "https:" "https:" "https:" "https:" "UNIV" positions at University of Sheffield
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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
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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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techniques. Optimise the use of glove box-based handling procedures to minimise atmospheric attack. Take part in lab management, including training of new users and assisting others with interpretation of data
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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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. Desirable Application / Interview Ability to work within a University research group and in collaboration with external partners. Desirable Application / Interview Further Information Grade Offscale Salary
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, financial administration tasks, and organising and supporting School events and meetings and keeping School information up to date. You will also play a key role in supporting senior staff in their work
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quickly, in an automatic way huge amounts of video data. Different intelligent video surveillance systems have been developed in a wide range of applications. In most cases these are multiple camera systems
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information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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consequently, resistance to standard drugs such as cisplatin and radiotherapy. This project will 1. Assess levels of this protein in biobanked bladder cancer tissue samples and correlate with stored patient data