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@maths.cam.ac.uk Interviews are scheduled to be held in mid-September 2025, with an anticipated start date in November 2025. Please quote reference LE46716 on your application and in any correspondence about this
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under-actuated large-scale
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algorithms is desirable. About the Department This post is within the School of Engineering and Materials Science, a large School with 108 academics, more than 250 PhD students and over 2500 undergraduate
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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sheets or certificates as these will not be considered as part of your application. Interviews are scheduled to take place on the week commencing 15 September 2025 and you must be available on this date
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immediately. The closing date for applications is 12.00 noon on Monday 15 September 2025, interviews are likely to be scheduled for late September 2025. Applications for this vacancy are to be made online via
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(b) previous hands-on experience of XPS Interviews are scheduled to take place at the Department of Materials on Tuesday 12th August 2025 and you must be available on this date, either by Teams, Zoom
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. To submit an application, click the 'Apply ' button above. The deadline for applications to this post is Monday 4th August 2025 at midday. Interviews are scheduled to be held between 21st-22nd August.