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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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About us: Applications are invited for an enthusiastic Postdoctoral Researcher to join a Wellcome Trust collaborative Award led by Prof. Oscar Marin and Prof. Beatriz Rico. As a member of the team
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Trust collaborative Award led by Prof. Oscar Marin and Prof. Beatriz Rico. As a member of the team, the post-holder will be working in close collaboration with a multidisciplinary team of researchers in
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, estimation, and identification algorithms that directly interface with physical hardware. We work closely with industry partners. Our research has led to several methods now used in commercial products. We
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small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal
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of using FPGA tools and provide them the necessary training to use the ASIC tools. The team at Cambridge consists of three investigators: Prof. Robert Mullins (PI), Prof. Timothy Jones and Dr Rika Antonova
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including Dr Keith Winwood (Manchester Met), and Prof Lukasz Kaczmarczyk (University of Glasgow, and founder of open-source finite element code MoFEM). Key Responsibilities The key technical responsibility
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Dr Leon Clarke from the Manchester Metropolitan University and the Co-I Prof Andrew Henderson from Newcastle University. About the project: This PDRA role is a very exciting opportunity to work
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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The Role Applications are invited for a postdoctoral research associate in the theory of soft and active matter, to work with Prof. Suzanne Fielding in the Department of Physics at Durham University