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interdisciplinary research group focuses on developing and applying advanced image processing and artificial intelligence (AI) tools to solve challenges in healthcare and biotechnology. Our work spans from AI
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cutting edge of medical physics, oncology, and imaging science, contributing directly to the future of pediatric care. Where to apply Website https://www.academictransfer.com/en/jobs/357579/phd-position-in
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(Casson lab, https://www.sheffield.ac.uk/biosciences/people/academic-staff/stuart-casson) to develop the first comprehensive picture of chloroplast replication. In addition to opening up a new dimension of
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origins (bacterial, biological fluids, hybrid nanovectors, etc.). He/she will develop protocols for fluorescent labeling (e.g. DNA paint...), immunolabeling, immunoimmobilization, acquisition, processing
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Technologist will be responsible for providing quality diagnostic imaging for medical interpretation. Duties will include operating CT equipment, handling patients, post-processing of images, working with
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anomaly detection using advanced and optimized methods. • Literature review (image processing, deep learning, vision-language models, diffusion models, etc.). • Generative AI for creating reliable models
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on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
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. Identify new sources of data and methods to improve data collection, analysis and reporting. May test prototype software and participate in approval and release process for new software. * - Other duties may
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to Search Postdoctoral Research Associate, School of Mining Engineering and Mineral Resources Posting Number req24974 Department Sch Mining Engr Mineral Res Department Website Link https://mining.arizona.edu