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heritage, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Sub Nanosecond Imaging
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vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Developing or adapting high-speed image acquisition and processing methods for the simultaneous extraction
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. Depending on area assigned, may specialize in one or more clerical functions, such as coding clerical support, transcription processing and interface. Coordination of record request, image scanning quality
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facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring environment; an active seminar program, the possibility
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus
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will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI
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tools and techniques in areas like NLP and computer vision. Prototype and test new solutions to assess impact and feasibility. Help shape policies and strategies for responsible AI use in libraries
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Manometry system. Chest Wall Malformation program including Pediatric Pulmonary and Physical therapists with black bone imaging capabilities, use of cryoablation and the new pectus Blu system. Multi
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. This role will work with a vibrant team of scientists and historians and philosophers of science to carry out text and image processing, extracting relevant information from printed sources, photographs, and