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research independently, analyses data and present results. Your work will be carried out under the supervision of Dr Fukuda and to study cardiac development and disease using multiple model systems. The lab
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, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses machine learning to analyse cardiac motion for predicting patient outcomes, discovering
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of modern molecular and genetic techniques Experience of working with plants and/or enthusiasm for using plants as model systems Excellent IT skills and an ability to use new software Excellent organisational
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in data science, to deliver molecular mechanics force fields that bridge the gap to quantum mechanical accuracy for biological modelling and computer-aided drug discovery. They will work with project
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experimental design to data generation, analysis, interpretation, and publication. Conduct in vivo phenotypic characterization of murine models and perform lab-based molecular research. Present research findings
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, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses machine learning to analyse cardiac motion for predicting patient outcomes, discovering
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pathologies. We are looking for a postdoctoral researcher with experience in cell biology with a keen interest in translating cell-based discoveries into molecular insights. The post holder must possess a PhD
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at the University of Cambridge (https://www.mrl.ims.cam.ac.uk/ ). The Technologist will work closely with the Evans group and Disease Model Core (DMC) to simultaneously support the research and advancement of in vivo
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proliferation, in the context of cardiac fibrosis. The project will involve using a wide range of molecular cell biology techniques, in silico molecular modelling and ex vivo experimental models. The successful
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, molecular and cell biology, and design and coarse-grain modelling of DNA nanostructures. The candidate will also be required to analyse experimental data, write analysis programmes, and design new