17 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Fellowship positions at UCL;
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer
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and person specification for full details. If you have any queries about the role or application process, please contact the Engineering staffing team. What we offer As well as the exciting
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. Further funding to support the post may be available. About you Applicants should have a PhD (awarded or imminent) in Electronic/Electrical Engineering, Biomedical Engineering or a closely related
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to research at the forefront of optical neuroimaging and clinical translation. Key Requirements Candidates must hold a PhD in Physics, Biomedical Engineering, Medical Physics, Optical Engineering, Photonics
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the areas of innovation management, the creation and growth of technology-intensive organisations, business analytics, and entrepreneurship. The research undertaken at the UCL School of Management has been
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at national facilities to reveal short-range correlated disorder, invisible to long-range structure probes. This project will use a state-of-the-art, laser-heated, high-pressure image furnace to synthesise
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Postdoctoral Research Assistant/Fellow (depending on PhD holding status) to join the Advanced Biosensing Technology Group at University College London to work on an exciting project for the detection of novel
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, materials science, biomedical engineering, or a related discipline, or will have submitted their PhD thesis in a relevant field prior to taking up the appointment. Please refer to the Job Description for
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funded for 2 years in the first instance. About you You will hold a doctorate (or equivalent) in a relevant process engineering field e.g Biochemical Engineering, Chemical Engineering, or a related
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2021. The postholder will join Mario Giulianelli’s research group, which studies information processing in human and artificial systems. A core part of the group’s work also concerns the evaluation