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the field of covariant cosmography. About the School The School of Physical and Chemical Sciences (SPCS) at Queen Mary University of London is a large, multidisciplinary and research-intensive school within
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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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with infants/children in LMICs. Experience and competency in the interpretation of neuroimaging data from large-scale datasets. Demonstrated experience building research capacity within LMIC teams
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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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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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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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Clinical Cohorts Collaborative (PC3) which brings together multiple long-term UK Parkinson’s studies into a single large dataset comprised of control, prodromal and Parkinson’s participants. This post
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Clinical Cohorts Collaborative (PC3) which brings together multiple long-term UK Parkinson’s studies into a single large dataset comprised of control, prodromal and Parkinson’s participants. This post
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using liquid biopsy next generation sequencing data for cancer diagnostics. About You Must have a strong background in next generation sequencing data analysis/machine learning, cancer and/or genome
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metabolomics, and advanced statistical and computational analyses of large biological datasets. You will also support the maintenance of laboratory equipment and sample banks, ensuring full compliance with