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and cancer. Ultimately, we aim to mitigate the pathogenesis and develop treatments for chronic metabolic diseases. We have established unique, comprehensive mouse models for: 1) real-time labeling and
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these cookies we will not know when you have visited our site, and will not be able to monitor its performance. Back Button Cookie List Search Icon Filter Icon Clear checkbox label label Apply Cancel Consent
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imaging modalities and tasks. Their ability to perform well with limited labeled data and adapt quickly to new clinical scenarios makes them a powerful tool for advancing AI-driven diagnostics and improving
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skills, including a proven ability to work both independently and as part of a team. Desired Qualifications: (Ideal applicant; applicants without these skills will be considered). Strong record of prior
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timetables and guidelines set by relevant University and departmental committees. You will be able to work as part of a team and manage and prioritise a busy and varied academic workload. You will have
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participating departments, in accordance with timetables and guidelines set by relevant University and departmental committees. You will be able to work as part of a team and manage and prioritise a busy and
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. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Wellbeing Days”. Membership of the Pension Scheme is available. The post is
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on privacy-preserving techniques and real-world deployment. Develop and evaluate federated models that operate under positive-label-only constraints on local devices, focusing on scenarios where user templates
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rebecca.hardwick@plymouth.ac.uk and cc Richard Byng at Richard.byng@plymouth.ac.uk . This is a part time position working 22.2 hours per week (0.6 FTE) on a fixed-term basis for up to 24 months due to funding
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, while engaging with researchers from different disciplinary and country backgrounds. For more information please contact: Prof. Dina Balabanova, dina.balabanova@lshtm.ac.uk . The post is part-time 17.5