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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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systems. They will be confident working with large or complex datasets, ensuring accuracy, reproducibility and secure data management. They will be able to work both independently and collaboratively as
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particularly well suited to researchers interested in careers that span academic research, heritage practice, museums, and public archaeology. Further Information To be considered for this opportunity, please
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will develop the mathematical/computational tool-box to describe the evolution of ecDNA and test predictions of these theories in existing and newly generated cancer genomic data. The position will be
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas