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development in preterm infants using 3D ultrasound imaging. The project relies on a multicenter dataset of more than 300 patients collected from 10 hospitals. The objective is to develop supervised learning
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 1 day ago
signal and image processing, machine learning, deep learning, robotics, and 3D design, with proficiency in programming languages such as JavaScript, R, Python, Matlab, or SQL. • Proven research experience
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imaging configurations that minimize acquisition time and maximize measurement quality, (b) estimating measurement uncertainty due to camera defects, (c) accelerating 3D tomographic reconstruction from
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standards. ** Required ARRT Registered Radiologic Technologist in the area of general radiology. Desired Qualifications 1-3 years of related experience with mammography including 3D imaging, breast procedures
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and moving images; professional setups and standard practices; post-production techniques, tools, and processes; instruction in basics of shooting, editing, output, and display; and, instruction in use
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on the end-to-end development of anatomical 3D models that support clinical care, medical education, research, and product development within the BMDC. Its primary purpose is to transform medical imaging data
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recently acquired 3D STED system. The facility provides researchers with advanced imaging capabilities across a diverse range of samples, from molecules and monolayer cells to small organisms (such as fly
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Cryo-EM Single Particle Datasets Using 3D-to-2D Flexible Fitting based on Molecular Dynamics Simulation. J Mol Biol. 2023;435:167951. https://hal.science/hal-03929029 [3] Valimehr S, Vuillemot R, Kazemi
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novel methods across evolutionary analysis, mathematical modelling, micro-scale experiments and 3D printing. You will have a PhD (or close to completion) in biophysics, bioengineering, mathematical
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· Strong expertise in mineralogy and optical microscopy applied to the study of natural and industrial materials. · Experience in image analysis (2D and ideally 3D) for mineralogical and textural