636 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Sheffield
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sections, editing and proofreading. Oversee the effective maintenance of information and documentation for the Grants Team, tracking grant applications and outcomes, creating internal resources on funding
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weekends to carry out cell culture and time-critical experiments, ensuring the continuity and integrity of long-term research projects. Evaluate scientific data from immunocytochemistry, flow cytometry, and
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(to be investigated) and analyse the prospective outcome after having "trained" the model with current data. In view of the outcome, there will be the possibility of proposing key decisions
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Computer Vision for manufacturing applications, such as automated inspection and component validation. Housed within The AMRC’s innovative Factory 2050, the team has grown organically over the last seven
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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Organise and conduct meetings with key colleagues, including academic members of staff, and students across the University Use data and insight, gathered from sources such as Google Analytics and user
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the Customer Services team. Other areas of responsibility will be the monitoring of grounds maintenance activities and launderette service, responding to inventory queries, and accurate data entry (invoicing
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of programme level approach in the School and contributing to the strategic development of the portfolio. This will involve coordinating high quality and consistent programme and module information in various
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Airyscan, spinning disk) and analysis. Contribute to lab organisation including ordering, cleaning, training, supervision. Critically analyse data and experimental design. Presentation of results in the form
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subjected to a typical loading scenario. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including