20 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Imperial College London
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of national health care provision through data-informed resource allocation and strategic planning and investment. The post is funded by the Wellcome Trust, and the post-holder will join a team based across
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by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side
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and experimental data, the student will develop predictive models of strand displacement reactions in non-ideal settings, in collaboration with the other students within BIOHYBRITE. These areas include
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healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models. Working closely with
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modelling to address missing data and uneven data collection across different centres. Second, based on our recent deep learning biomechanics modelling work, you will perform cardiac biomechanical modelling
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-economic considerations, to rank hot spots and inform the creation of centralized, global AMR data repository integrating hotspot-specific surveillance data from multiple sectors. In addition, you will
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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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out research in accordance with the agreed project aims to obtain preliminary data for future applications To submit an Intermediate or Advanced Fellowship application. To attend meetings and report
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culture with various staff networks and resources to support your personal and professional wellbeing. Further information This position is full-time and fixed-term for 12 months (with the possibility of a
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for hardware control and data visualization. • Experience in working in wet-lab environment and/or dealing with food samples • Industry experience in product development and/or in vitro diagnostics is highly