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of Aberdeen to work on a project “Predicting Response in Triple Negative Breast Cancer Using Machine Learning”. We seek to appoint a creative and motivated individual to use machine learning (ML) to identify
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Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful
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referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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. Early-Career Research Fellows are normally expected to be resident in Cambridge for the term of their Fellowship. An Early-Career Research Fellow is expected to pursue learning and research in
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: John.reader@cardiov.ox.ac.uk Ellie.tzima@cardiov.ox.ac.uk The University of Oxford offers an attractive range of competitive benefits available to all staff for both work and personal life - https
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commercialisation opportunities arising from GlycoCell. https://www.nottingham.ac.uk/news/glycocell-engineering-biology-mission-hub https://www.ukri.org/news/new-100m-fund-will-unlock-the-potential-of-engineering
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work and personal life - https://hr.admin.ox.ac.uk/staff-benefits Committed to equality and valuing diversity We welcome applications from individuals from all backgrounds, including those under
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studies, https://www.ljmu.ac.uk/research/centres-and-institutes/loom . In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction, and
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environment. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408704/research-fellow-dig… Requirements Additional Information Work Location(s) Number of offers available1Company