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and Immigration website . Full-Time, Fixed-Term (24 months) Applications are invited for the post of a Data Scientist (KTP Associate) for Deep Learning and Image, Audio and Video Processing. The project
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research and preclinical imaging. The post-holder will be expected to provide exemplary practical technical support to QMUL research scientists and students and to our external core service users. About You
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and colleagues, promoting a positive image of the facility, demonstrating confident communication and providing people with the correct information at all times. You should have experience working
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on autofluorescence (AF) imaging and Raman spectroscopy for detection of metastatic lymph nodes during breast cancer surgery. Engaging with and reporting to Dr Alexey A. Koloydenko (Department of
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim to investigate the role of mechanical sensing and memory in cardiovascular disease. The postholder of this British Heart
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of complex, large-scale R&D activities, working across academic, creative, and tech sectors. This role is ideal for someone who enjoys building processes, thrives on solving problems collaboratively, and has a
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postgraduate degree and PHD in a related field and an enviable track record working with several modalities including genomics (WES, SNPs, transcriptomics), EHRs, and/or medical imaging. Your experience with
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the direction and support of the Director and Director of Operations in StoryFutures. We are looking for someone who can see the bigger picture, but with an eye for detail, who can support multiple projects
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physiologically relevant models will provide crucial platforms to mimic disease pathology, and better understand and treat tendinopathy. The project will generate tendon-chips using in-house commercially available