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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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interdisciplinary environment, first-class mechanical and electronics workshops, and access to the King’s core facilities network. King’s is committed to an inclusive, supportive research culture. Researchers benefit
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You will collaborate closely with RCA staff, PhD students, and external partners, contributing to cutting-edge, design-led robotics innovation. Outputs are expected to be published in high-impact
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technical difficulties when using the online application form, we prefer you send enquiries by email. Please send your name along with a brief description of the problem you’re experiencing to e.recruitment
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Laboratory in the `Digital Innovation Facility¿ at the University of Liverpool. You will possess, or be close to completing, a PhD in Electrical Engineering / Electronics / Computer Science or a relevant
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to have the following skills and experience: Essential criteria PhD in Neuroscience or near to completion* At least one first-author publication in a scientific journal Extensive experience working with
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will have a PhD in a relevant area (or be close to completion) and a good understanding of neurotransmission and behaviour. We welcome applicants with experience in some of the following areas and with a
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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for deep access within the human body. The research remit will encompass: mechanical and electronic circuit design, prototyping, and pre-clinical evaluation of diagnostic and therapeutic devices to tackle
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will have or be close to the completion of a PhD in Neuroscience, Psychology or a closely related discipline. With in-depth knowledge of cognitive and computational neuroscience including motivation