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progression. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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Imaging Centre (BRIC), at the university of Plymouth and Queens hospital, Romford, London. BRIC is equipped with cutting-edge neuroscience technology, including a 3T Prisma scanner and eight human research
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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in techniques of developmental biology and expert in mRNA detection using HCR technology. Experience in confocal imaging and 3D analysis of confocal stack is essential. The role is expected
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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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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, Mechanical Engineering, Computer Engineering or a closely related subject Experience in conducting academic research or providing research assistance in the field of RF/microwave engineering or printed
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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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Central Oxford We are seeking a full-time Postdoctoral Research Assistant to work under the supervision of Professor Reece Oosterbeek and Dr Aaron Graham at the Department of Engineering Science