53 linked-data-"https:" "https:" "https:" "UCL" research jobs at University of London
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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
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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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to develop their scientific career and have an impact in the cell invasion and cancer fields. More information about our research can be found here: www.bci.qmul.ac.uk/staff/dr-pedro-monteiro About You Our
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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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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5) to provide core knowledge for development of new therapies and management strategies for PPK
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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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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 of Excellence in Biotherapeutics
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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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, there is potential for involvement in data analysis leading to conference presentations and/or authorship in peer-reviewed journals. Education & Leadership: You will be encouraged to deliver formal
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collected and linked survey, consumer and environmental data. It would be useful (though not essential) if candidates had experience of deriving food environment exposures and able to undertake data linkage