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zu Berlin contributes to the development of NOMAD, the world’s largest data repository for materials science. Within SolMates, the team builds on its experience in integrating image segmentation and
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delivery of the programme across imaging, bio-sampling, data collection, and external laboratory partnerships. About You You will be educated to degree level or equivalent experience. You will have
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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, Telecommunications, Artificial Intelligence or Computer Engineering; Mathematics; or a related field. Training or experience in data science, deep learning, and artificial intelligence. Knowledge of Python, PyTorch
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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ANC Radiology MRI POPC Per Diem 88300BR Job Summary The Department of Radiology is a 24-hour, seven day a week operation providing imaging services for adult and pediatric inpatients and outpatients
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We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical engineering, Department of Electrical Engineering. Become part of our innovative team and contribute
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Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed to improving the way we deliver healthcare
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Microscopy Specialist to support the expansion of its light microscopy program. This position is responsible for delivering high-quality microscopy services through the maintenance and daily operation of
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is