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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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Neuroimaging, MRC BNDU, and the Oxford Health NIHR BRC. About You You will hold a PhD in biomedical engineering, neuroscience, or a related field, and have experience in the development of technological systems
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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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should possess a PhD in a relevant field (e.g. Engineering, Physics, Chemistry, Materials Science) or be close to completion prior to taking up the appointment. Previous experience with AI modelling is
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skills, with the ability to liaise with a range of stakeholders. Desirable Criteria: A PhD (or be close to submission) in Electronic Engineering, Mechanical Engineering, Computer Engineering, or a closely
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for a candidate who: Has a PhD in physics, materials science, chemical engineering, or a closely related field Experienced in electrochemical ammonia synthesis, preferrably LiNRR Strong background in
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street
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of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access