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for the principled statistical analysis of large-scale complex networks. Data may be drawn from a variety of domains, such as epidemiology, ecology, neuroscience, economics, and the social sciences. Likewise, methods
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learning, computational neuroscience, statistical machine learning and sensorimotor control. The work on machine learning includes both theory and applications to vision, information retrieval and
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: You have a First-Class or High Upper-Second Class master's degree in engineering, earth sciences, economics, statistics, or computer science. You enjoy working with data and have experience translating
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, machine learning, epidemiology, biostatistics, data manipulation, programming in statistical software packages (e.g. in R, Python) and handling and analysis of large-scale data (including multi-omics and
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your research interests, any completed research conducted, interests and skills in statistical methods, and analyses. Applications must be received by midnight on January 26th 2024. Interviews will be
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across the Institute and wider University. This includes a centrally run Statistics course and the University Core Skills Training Programme, which includes sessions on Time Management, Presentation and
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Ghahramani. Course web page . 4F10: Statistical Pattern Processing Taught by Mark Gales. Course web page . 4F13: Machine Learning Taught by Zoubin Ghahramani and Carl Rasmussen. Course web page . PREVIOUS
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to career development activities; (b) supplies, equipment and technical personnel; c) travel to research meetings or training; and (d) statistical services including personnel and computer time. Salary