We are seeking a talented investigatorscientist to work on a new collaboration on human aging with CalicoLabs. Aging is a key risk factor for cardiovascular disease andrecent work has identified several potential mechanisms by whichhuman aging could be attenuated. This is part of a 3year programusing cardiovascular MRI to assess modifiable mechanisms of agingavailable at MRC Laboratory of Medical Sciences (LMS) inComputational Cardiac Imaging Group headed by ProfessorORegan.
The LMS is a worldclass researchlaboratory where scientists and clinicians collaborate to advancethe understanding of biology and its application to medicine.Funded by the MRC as part of
UK Research andInnovation the LMS has a collaborative working culture and newstateoftheart building based in the heart of West London in theHammersmith Hospital Campus. For more information visitoreganlab.org.
The Computational Cardiac ImagingGroup works at the intersection of clinical imaging bioinformaticscomputer vision and molecular cardiology to explore the mechanismsunderlying heart function. The group uses machine learning toanalyse cardiac motion for predicting patient outcomes discoveringpotential therapeutic targets and identifying genetic risk factors.We use a flexible and interdisciplinary approach to research thatmoves between individuals populations and modelorganisms.
Applicants should have substantialresearch experience in machine learning statistics andbioinformatics and will develop models for biological ageprediction from multiple image derived phenotypes. Expert knowledgeof a wide range of statistical tools including gradient boostingalgorithms as well as causal inference techniques such asstructural equation modelling is required.
Thecandidate should have proven programming experience includingPython and R. Previous work on biomedical datasets and genomicswould be an advantage. We are also looking for an ability toinnovate and adapt techniques from otherdomains.
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