12 cloud-computing-"https:"-"https:"-"https:"-"https:" research jobs at Imperial College London
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This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct research on cloud computing and future cloud infrastructure, under the direction of Dr. Marios
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-year Research Associate or Research Assistant post in Computational Modelling of Cardiac Diffusion Tensor Imaging is available to further these methods. This project forms part of a BHF and EPSRC funded
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You will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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The role will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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ecosystem, including a mobile app to control the eLFA and a cloud-based AI analytics platform. This role will also get hands-on with validation, conducting wet lab experiments with real food samples to refine
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The post is within the Thanzi La Mawa programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity
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in developing and applying computational approaches to access, clean, harmonise, and integrate complex biomedical datasets, including prescription records, longitudinal clinical data, wearable time
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, chemical, biological or computational science, an interest in theoretical modelling and curiosity about engineering complex biological and biochemical systems. The opportunity to study for a PhD at a world
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across West London, we will be looking at the impact of air quality on our health and delivering a programme of outreach and public engagement. The Research Assistant is crucial to the success
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, and collaborative projects. You should have a masters degree or equivalent in Neuroscience, Computer Science, Mathematics, Biomedical Engineering, or a related discipline with a focus on machine