92 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Bristol
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of Engineering, and how the Faculty 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
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about professional development and committed to advancing global academic standards. You can apply for the role at the below link- https://emeritus.darwinbox.in/ms/candidate/careers/a691c29546849a
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engagement. A PhD in Computer Science, Human-Computer-Interaction, or a closely related technology discipline, or extensive relevant industrial/commercial experience in immersive technologies. A strong
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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 Work pattern: Full time Grade: J/K/L
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Maya, Blender, motion capture, photogrammetry, spatial audio, and VR/AR hardware. You can apply for the role at the below link - https://emeritus.darwinbox.in/ms/candidate/careers/a691c17de96fc2
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, and collaborative leadership skills. You are proactive about professional development and committed to advancing global academic standards. You can apply for the role at the below link - https
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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://engineering.blogs.bristol.ac.uk
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to the development of robust, reproducible machine learning workflows. The role forms part of a nationally significant research programme with strong policy relevance, working in collaboration with the Imago Data
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image and video processing algorithms Developing and adapting machine learning models Integrating and deploying algorithms onto industrial hardware Evaluating performance in realistic scenarios and
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climate change, public health, or social inequality. Supervised by Dr Zhu and Dr Lo, the successful candidate will develop spatially explicit machine learning frameworks and interdisciplinary knowledge