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language processing for accessible science to contribute to the Terminology-Aware Machine Translation for Accessible Science (TaMTAS) project. The project is funded by EPSRC under the CHIST-ERA Call 2025: Science in
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of multimorbid cardiovascular disease progression. The role will involve laboratory research, data processing and analysis. About you As the successful applicant, you will have a BSc or MSc in a Biological Science
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statistical genetic analyses. Ideally, you will also bring experience or training in areas such as medical statistics, UNIX systems, bioinformatics, or human genetics, though we welcome candidates eager
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, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each
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policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made
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shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details
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on open-source software. Conduct experiments/trials, and collect, process and analyse data. Collaboratively create demonstrable proof-of-concepts, integrate with other subsystems, and conduct demonstrations
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targeting a lysosomal protein to treat neurodegenerative disease. The successful candidate will have expertise and practical experience in assessing the effect of experimental therapies on lysosomal function
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directly at the edge. The postholder will investigate novel hardware–software co‑design approaches enabling AI‑driven video processing on energy‑harvesting devices under extreme power constraints
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sensitively in health and care contexts Additional information It is anticipated that the selection process will include an interview and a short presentation. Further details will be provided to candidates who