33 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "UCL" research jobs at University of London
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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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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer
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post or completed CCT and looking for the opportunity to undertake an out of program research project to result in the award of a PhD. You will have obtained MRCP or equivalent and be working towards
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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project
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clinician scientists to achieve improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and the Francis Crick Institute) which is a Centre
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the Centre for Experimental Cancer Medicine and the Barts NHS Trust to achieve improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and
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statistical input within long-standing and high impact research collaborations with the Dementia Research Centre at the Institute of Neurology, UCL. The role also includes teaching of postgraduate students
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a Research Fellow to contribute to a research programme examining how digital environments influence adolescent health. The postholder will lead the analysis of the UK Household Longitudinal Study
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will develop and apply computational methods for the analysis of cell-free DNA (cfDNA) sequencing data, supporting a growing research program at the intersection of epigenomics and translational medicine
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis