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Field
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burden measurements, tissue collection and processing, and/or longitudinal infection imaging is a plus. Additional advantageous experience includes antimicrobial time-kill assays, biofilm models
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 8 hours ago
designing, implementing, and optimizing computational pathology workflows from image acquisition through analysis output with understanding pre-processing techniques Learn about cutting-edge vision and
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will provide access to state-of-the-art research laboratories and facilities (including flow cytometry, imaging and microscopy, Birmingham Tissue Analytics and Genomics Birmingham) as
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discipline Experience or knowledge in imaging systems, computer vision, or related technical areas Strong analytical, problem-solving, and communication skills Ability to work independently as well as in a
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equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational approaches applied to healthcare research (desirable) a peer-reviewed
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision
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or similar Skills in satellite-based image processing and analysis Please click here for the position’s detailed job description, including general responsibilities, requirements and other details related
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Products. A current research project evaluates the role of microbes in texture losses of vegetables during processing and long-term storage. You will participate in all aspects of scientific research and
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atomization, droplet formation, and transport processes; applying quantitative image analysis and scientific programming techniques; comparing experimental observations with computational models; and