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You are a creative and enthusiastic researcher with an MSc degree in physics, mathematics, computer science, engineering, medical physics, technical medicine or similar. You are a team player with
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences
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sense, and process information locally has never been greater. Traditional architectures that separate sensing and computation create bottlenecks in speed and energy efficiency. This PhD project aims
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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Engineering: brain–machine interfaces, neuromodulation, neural signal processing, neurotechnology development, computational and systems neuroscience, neural recording and stimulation technologies, wearable and
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at least two of: fluorescence microscopy, microfluidics, image analysis, flow cytometry • Laboratory experience in microbiology or cell biology • Independent experimental design and execution capability
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University of California, San Francisco | San Francisco, California | United States | about 6 hours ago
. This position will work all shifts (day, night and graveyard) including weekends/holidays. Performs various radiographic exams and processes images on various archival systems. Professionally accountable
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processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological capabilities, with a profound potential impact
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is