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to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI
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electrophysiological recording (cMOS Multielectrode array) and calcium imaging and optogenetics. The long-term goal is to understand how cortical organoids process information. For this aspect there will be
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) Understanding of basic cell culture techniques (media preparation, sterile conditions) Computer literacy is essential for the recording and communication of results Experience of work in sterile conditions
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experience in image data processing and analysis Familiarity with femtosecond/picosecond lasers and safe alignment practice. Clear, timely communicator who enjoys collaborating across physics, engineering and
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Grade 6 Research Assistant Essential Criteria 1. A Master’s level degree (or equivalent experience) in Electrical Engineering, Energy Systems, Control Engineering, Computer Science, Artificial
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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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microscopy and imaging. High level analytical capability and understanding of the scientific process. Independent intellectual critical thinking skills. Ability to communicate complex information clearly
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Directorate: School of Engineering and Physical Sciences Grade: Grade 7 (£37,174 - £46,735) Contract Type: Full Time (1FTE), Fixed Term (24 Months) Rewards and Benefits: 33 days annual leave, plus 9
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and imaging, and collaborators in the O’Garra Lab and Ciccarelli Lab at the Francis Crick Institute, for expertise in genomics technologies and informatics analysis. World-class facilities and training
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing