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Field
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algorithms for dynamic structured data, with a particular focus on time sequences of graphs, graph signals, and time sequences on groups and manifolds. Special emphasis will be placed on non-parametric
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intelligence, data science, computer science, statistics, or a related field with a focus on AI methods and/or causal data analysis. Documented interest in causal data analysis and/or in the development
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sitting within a leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre
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School of Electrical Engineering and Computer Science Full-time (100%), permanent position Base salary will be in the range $137,542.79 - $158,351.30 + 17% Superannuation (Academic Level C) Based
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Evaluation Research (HEER) Program, we provide accessible data to policymakers, advocates, and the public. Our work focuses on understanding social drivers of health, revealing health inequities, and
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, and ways of applying such foundational analysis for quantum technological or social benefit (e.g., through designing protocols or algorithms for, or building understanding of, quantum computing
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science topics, including practical software development skills. Expertise in teaching mathematical subjects related to computer science such as discrete structures, analysis of algorithms, artificial intelligence
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, socially responsible research. This cross-disciplinary centre will combine academic and technical expertise with advanced computing capabilities to enable research at scale – from the processing of large
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range of computing subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software Engineering, Database Design, both at undergraduate and postgraduate level
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analysis. Support the installation and testing of equipment in field locations. Other related functions as assigned. Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, or