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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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Understanding of and ability to contribute to broader management/administration processes Contribute to the achievement of research deliverables and milestones associated with the Intelli-Ingest program Co
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Drosophila melanogaster lines, performing confocal imaging and running behavioural assays with fruit flies. You will also help ensure the smooth operation of the Treiber lab, by monitoring lab stocks, managing
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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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About the role We are looking for a highly motivated and curious research assistant with a background in biology, neuroscience or a related field to join the exciting “innovaTEbehaviour” project
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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undergraduate and post-graduate programmes: Chemistry; Physics; Electrical, Electronic & Computer Engineering; Chemical Engineering; Mechanical Engineering and Brewing & Distilling. In the 2019 National Student
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, the method development will include machine learning based image recognition/processing techniques to enable computational microscopy and experimental matching. For position 3, the method development will
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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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