663 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at University of Sheffield
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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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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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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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MATLAB/Simulink together with real time control, Labview, data acquisition and prototyping platforms. It is essential that you can demonstrate practical work in these areas, as the project aims to produce
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specialist advice and information to students and staff during times of difficulty or crisis, ensuring 24-hour continuity of care. Out-of-Hours Support Participate in an out-of-hours rota to respond
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checks, monitoring of fixed term contract expiry, casual worker registration, etc.) Maintain records of documentation relating to staff, including recording of sickness/annual leave. Maintain information
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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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presentations, undertaking some initial analysis of information and collation of materials for inclusion. Maintain document filing systems (electronic and hard copy) for critical Departmental documents and logs
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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