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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella
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analysis and interpretation experience that is guided by theoretical/physical understanding and not only by application of statistical methods or artificial intelligence; A good team spirit and willingness
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for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely
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be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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successful candidate will join the Intelligent Muscle Research Group, led by Dr Majid Taghavi, within the Advanced Robotics Laboratory. The role involves close collaboration with a team of researchers, led by
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) is developing ML methods supporting the experimental HT workflows and, so far, focused on intelligent design of experiments based on Bayesian Optimisation. The team at Cambridge has its own high
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on favourably. You should have comprehensive IT skills including Word, Excel, Access, PowerPoint and Publisher and will need to have or gain a Good Clinical Practice certificate. The post is available for one
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eventually be able to pursue independent grant funding, in one of three areas: (1) use of LLMs and incorporation of artificial intelligence into inequality research, (2) the study of policy strategies
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central London. The successful applicant will work on PRECISE-AI (Probabilistic Reasoning with Circuits for Safe and Explainable Artificial Intelligence), a research project funded by the Engineering and
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella