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of design and fabrication techniques for organic electronic device manufacturing. Excellent writing and presentation skills are required, along with the ability to develop and drive research objectives
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plenty of notice to your chosen referees for submitting their references before the closing date. The application must be submitted online by 5.00pm on Friday 26th September 2025. Written Work Submission
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reuse your personal data) the right to object to networx and the controller and processors handling of your personal data the right to withdraw your consent with regards to the handling of your personal
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lab integrates machine learning and high-throughput biochemistry to study how proteins selectively recognise their substrates, how this process is perturbed in cancer and how it can be hijacked to find
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Immunology applied to early cancer. This position is part of a long term research programme centred on exploiting the adaptive immune system for early cancer detection funded by the ACED alliance. The role
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engagement and facilitate strategic discussions with the broader Cyber Security Risk Reduction team to ensure alignment with risk management objectives and continuous improvement initiatives. We welcome
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conference rooms¿you will find an environment that encourages learning and professional growth. This is an exciting opportunity to work with experienced professionals and play a crucial role in supporting
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to structure your CV and covering letter, and tips to stand out. We strongly encourage all applicants to read this guidance before applying. You can find it here: Candidate Information Pack The closing date
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, to contribute to cutting-edge research on the early detection and prevention of primary intestinal tumours using animal models of ageing. The project involves a range of advanced techniques, such as complex mouse
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) The successful candidate will contribute to cutting-edge research on the early detection and prevention of primary liver cancer using mouse models and human tissues. Experience in immune phenotyping, flow