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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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have or 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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, This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality engineering polymers from
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for 12 months, This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality
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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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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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understanding of electro-active artificial muscles, or other stimuli-responsive smart materials. We are looking for someone with a strong passion for interdisciplinary research, collaborative teamwork, and
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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