614 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs 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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lists, sharing information with other team members. As a member of staff, you will be encouraged to make ethical decisions in your role, embedding the University sustainability strategy into your working
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wireless networking, UPS provision and networking services. You will have an in depth knowledge of data networks, both wired and wireless with experience of supporting Cisco based networking infrastructure
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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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, upscaling the device and conducting bacterial assays. The position involves conducting experiments, analysing data, and designing and implementing a more sustainable device utilising cheaper materials
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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
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data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: Join a groundbreaking
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required involving staff, students and visitors. Maintain school level information and records including webpages and handbooks. Service School committee and staff meetings and diary management to SET
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Robust machine learning using information theoretic approaches for damage detection in complex machines (C3.5-ELE-Esnaola) School of Electrical and Electronic Engineering PhD Research Project
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Effective and Efficient Visual Presentation of Machine Learning Outputs Derived from High-Dimensional Data to Clinicians (S3.5-SMP-Alix) School of Medicine and Population Health PhD Research Project