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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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: 151097649 Position Summary This role performs both routine and complex diagnostic radiology imaging procedures while ensuring patient safety, image quality, and compliance with departmental protocols. It also
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service and innovative data science research that advances the field of pediatric oncologic and catastrophic disease imaging. Academic rank will be commensurate with experience and qualifications. Our
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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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Postdoctoral Research Scientist Professor David Lewis/Thomas Bird Developing a Hepatocellular Carcinoma Subtype‑Specific PET Radiotracer for Preclinical PET Imaging Salary: from £37,000 to £42,893
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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collaboration, we are building a high-throughput single-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development
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: https://www.jobbnorge.no/en/available-jobs/job/294558/phd-research-fellow-in-deep-learning-for-imaging-of-marine-ecosystems Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294558/phd
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems