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Accuracy in Algorithmic Machine Learning"). Working closely with Dr. Clement Canonne and his team, the successful candidate will develop and analyse new differentially private algorithms for distributed
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encouraged to apply, A PhD (or near completion) in a relevant field, Knowledge of computer vision technologies including approaches to visual 3D reconstruction, Knowledge of appearance-based scene
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on collaborative projects. In addition to working as a data statistician or data analyst, both positions are required to teach one day per week for the School of Mathematics and Statistics. One of the positions will
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processing and analysis, microscopy, and imaging. The team uses gold-standard preclinical models, cutting edge neuroscience techniques, and machine learning to discover and develop novel pharmacological
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has: a PhD in a relevant field such as Management, Organization Studies, Urban Studies, Social Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record (relative