682 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" 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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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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high standard of customer service to staff, students and visitors. Make suggestions for improving service and refer customers to senior colleagues where appropriate. Present data and results accurately
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: The oestrogen
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collaboration at its core. The aim is to enable you to develop a range of research skills in biological, biotechnology and biochemical areas as well as equip you with core data analysis and professional skills
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areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project
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biological, biotechnology and biochemical areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https
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areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project
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Management: Contribute to departmental financial performance by preparing annual budgets and managing expenditure. Ensure rigorous financial planning and reporting. Use data and insights to monitor facility
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enables proactive mitigation, reducing noise complaints and fostering public trust. The data driven part of the model will leverage the existing datasets, that will enable us to build a robust, predictive