614 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of New Hampshire" positions at University of Sheffield
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through a combination of machine learning, clinical data modelling, and 3D-printed acoustic metamaterials. The central research question is: How can personalised tinnitus therapy be delivered effectively
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employment policies. For further information on the WIRe scheme visit the web site at: https://cdtwire.com/ The project based at The University of Sheffield will be supervised by academics at Sheffield and
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or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language How to apply Please complete
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that they will be considered. For further Information, please email k.lohwasser@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
to hear from you ahead of applying. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying View DetailsEmail EnquiryApply Online
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must have an International English Language Testing System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https
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) Monday 9 -1, Wednesday 1-5, Sunday 1-6 Duration Permanent Line manager Information Advisory Services and Skills Coordinator Direct reports None Our website https://sheffield.ac.uk/library For informal
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of HIF on these. - Establish new methods/models to assess DNA damage and their consequences, in larvae or adults Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd
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partners in the commercial, public and third sectors, nationally and internationally. More information on the School can be found here. Main duties and responsibilities Education Design, develop and deliver
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literature data to guide research design and interpretation. Collaborating with industry partners to translate discoveries into real-world food applications. This project provides an excellent platform