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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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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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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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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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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