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Field
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systems to emerging AI tools -- affects physician decision-making, and to develop new measures of provider productivity. The work involves large-scale EHR data in cloud environments (Google Cloud Platform
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the Cabinet Office’s Moonshot Goal 10 program. The appointee will be responsible for one or more of the following research topics, depending on their expertise and the progress of the project: 1.Large-scale
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to use the software and equipment associated with technologies used on the Dairy Centre, including the computerized feed intake systems, the AMS, automatic calf feeders, scales and “Genie” platform lift
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full product development, from concept through large-scale manufacturing. Demonstrated leadership experience in technical or project settings. Proficiency with ANSYS Maxwell or related simulation
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of Neural Dynamics and Cognition, led by Dr. Priya Rajasethupathy, focuses on observing and manipulating large-scale neural dynamics in real-time in behaving animals to understand memory processing in
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education and support your academic and professional goals. Along the way, you will learn and engage in research activities in several areas. These include, but are not limited to: Learning about large-scale
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-on training in quantitative policy research in economics. You will gain experience in: Working with large-scale and high-dimensional datasets Data construction, including web scraping Spatial analysis (e.g
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expected to design and execute experiments and analyse data independently under regular supervision. He/she will analyse and prepare the data in final forms for presentation. He/she will also be required
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on the laboratory can be found here. Our group develops machine learning algorithms to automatically generate discoveries from large-scale brain imaging data. We aim to uncover fundamental principles
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contribute to statistical, genetic and genomic epidemiology projects that underpin drug development, working with large-scale genomic and linked health data, including major cohort studies and biobank