100 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Bristol
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support the development and learning of the scientists & engineers of tomorrow? If you are, we would love to hear from you. You will provide essential specialist technical support to researchers and
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supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended with fixed funding until 31/03/2028
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about the CFM Lab and the ONE Group can be found at: https://hennessymatt.github.io/ and https://rochat-lab.com/ . This post is available for 12 months. The ideal start date is 2 March 2026 but there is
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For informal enquiries please contact: Professor Karen West, karen.west@bristol.ac.uk How to apply: Please consult our research proposal guidance then submit an online application for this project at http
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an innovative undergraduate degree in Computer Science with AI. Bristol’s world-class AI research spans applied and theoretical work in intelligent agents, machine learning, machine vision, reasoning, and
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, student engagement and supporting the development of future FinTech professionals. In this role, you will: Teach at undergraduate and master’s level, including lectures, seminars, tutorials and computer lab
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, student engagement and supporting future data scientists and statisticians. In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act as a
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To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https
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. You hold a PhD in Engineering, Physics, Computer Science, Mathematics or a closely related discipline. You have proven ability to teach at a high standard and an emerging track record of scholarly
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range transducers and arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You