14 computer-science-intern-"https:"-"https:"-"https:"-"https:" research jobs at Imperial College London in United Kingdom
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to conserve hospital resources. You will work with a team of AI experts and cardiologists to refine the model, based on the NIHR Health Informatics Collaborative large dataset, particularly on imputation
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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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to refine the model, based on the NIHR Health Informatics Collaborative large dataset, particularly on imputation modelling to address missing data and uneven data collection across different centres. Second
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to join our team with a background in lateral flow assay, electroanalytical chemistry and point-of-need diagnostics (or similar). You will be part of a new and exciting project funded by the Gates
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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
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to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed wireless and batteryless, near
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: A PhD (or equivalent) in health economics, epidemiology, computer science, or a related field. Experience building or using microsimulation models or other quantitative policy tools. Strong
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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of local populations around the world. Research Assistant: A first / Master’s degree (or equivalent) in a field relevant to environmental or natural sciences. You should have a strong background in