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processing of large data sets, knowledge of data acquisition systems, signal and image processing as well as experience in measuring acoustic pressures in cavitating liquids and high-speed filming is highly
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machine learning neuroimaging project with a broader interest linking imaging characteristics to molecular biology & neurodevelopmental symptoms. The project is a 3 year position supported by the Great
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activities. You must have a PhD or equivalent in Biology, Palaeontology or another relevant subject area and proven knowledge of mammalian anatomy and evolution. Experience in working with morphological image
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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 with clinicians at Great Ormond
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further funding, opportunities to attract PhD students through PhD programs, and additional funding support beyond the end of the fellowship. Fellows will be assessed for a permanent position within the
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(Mechanical Engineering at UCL) will also collaborate, he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect that the PhD
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. How to apply: If you are interested in this PhD position, please click the “Apply” button to contact Prof. Agapi Emmanouilidou. You will be redirected to the UCL job site, where you will find full
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Neural circuit dissection techniques Expertise in in vivo electrophysiology or single-cell resolution imaging Essential Skills Excellent written and oral communication Strong organisational and
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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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Location: Kings Cross London Contract: This is a full-time, four-year position on Crick terms and conditions of employment. Short summary Much remains to be discovered about the molecular basis