479 data "https:" "https:" "https:" "https:" "LaTIM Brest" positions at University of Sheffield
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process multi-modal imaging data across MRI, PET, and CT modalities, and will run both classical image analysis pipelines and modern AI-based workflows. Tasks will include image segmentation, registration
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identify emerging trends, topics and issues affecting the student community, and develop timely, relevant ways to engage students in response. Use data, feedback and student insight to continuously improve
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in a multidisciplinary team Essential Application/interview Ability to develop creative approaches to problem solving Essential Application/interview Further Information Grade: 8 Salary: £48,822
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to the University’s strategic objectives Through a process of opportunity mapping ensure a curated backlog of outcomes exists ready for prioritisation by appropriate governance groups Provide information, advice and
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our processes, ensuring our reporting remains both high-impact and operationally efficient. As well as creating readable, engaging reports, you must ensure that all data and information is up to date
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). Experience in analysis of nanopore direct RNA sequencing data and flow cytometry are also essential. This is an exciting opportunity to work on a high-impact project within a collaborative and supportive
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industrial audiences. For informal inquiries, contact Prof. Andy Mills at a.r.mills@sheffield.ac.uk. Please use the following link to apply: https://www.sheffield.ac.uk/postgraduate/phd/apply Funding Notes
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to the University’s strategic objectives Through a process of opportunity mapping ensure a curated backlog of outcomes exists ready for prioritisation by appropriate governance groups Provide information, advice and
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(assessed at application & interview stage) Further Information Line manager: Head of Product Direct reports: n/a Our website: https://www.sheffield.ac.uk/it-services/about (opens in new window) For informal
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adjustments for disabled students. Be the School’s Disability Liaison Officer, providing guidance and information to colleagues on student related disability-related issues in line with University guidance