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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
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humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is probably fair to say that an artificial neural network can perform better than a human in any