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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography
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well as the Paediatric Orthopaedic Sports Injuries Program (POSI-P) which is in the UBC Department of Orthopaedics. They are seeking a temporary full-time Research Coordinator for a 1-year term with the possibility
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and implements dynamic models, including machine learning algorithms, to optimize student-centered outcomes. Creates clear and actionable visualizations and dashboards using tools such as Power BI
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a basic knowledge of the donor medical requirements and contraindications. Accurately collects, records, and maintains clinical records of donors and recipients as required by the program in
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with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected
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, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. Assist with
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to testing. Analyses, designs and builds component-based applications including introduction of an application layer, modeling techniques, component and object-oriented design, complex algorithmic
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include but are not limited to: programming, algorithms, software development, communications and protocols, distributed systems, databases, mobile applications, operating systems, cloud computing, web
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, Galois, Defence Science and Technology (DST) and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. The post will be based in Sheffield working at Sheffield’s School of Computer