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techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data. Depending on the results obtained in the first year, the post can
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possess a doctorate in a relevant engineering or physical science discipline with experience of experimental research in an electrochemical technology. Informal enquiries may be addressed to Paul Shearing
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available from 1 September 2025. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your application. In your
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This is an exciting opportunity for a skilled and motivated researcher, with an interest in working at the interface of biopolymer chemistry and process engineering. This project aims to develop
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Process Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your application. In your supporting statement (<3 pages), please
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to Kiran R. Patil (kp533@mrc-tox.cam.ac.uk ) If you have any queries regarding the application process, please contact hradmin@mrc-tox.cam.ac.uk Further information can be found on our website: https
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to the position or the application process, please contact Prof. G Bernardes on (email: gb453@cam.ac.uk ). Please quote reference MA46535 on your application and in any correspondence about this vacancy
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Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
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and molecular mechanisms that act within these sites, and to determine how these events lead to a balanced immune response in different conditions and physical constrains imposed by each organ
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dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the university’s participation in The Alan Turing