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. Preferred Qualifications: PhD in medical applications of physical sciences and engineering. Experience in digital breast tomosynthesis, its performance evaluation, image reconstruction and processing
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and image processing. • Familiar with PyTorch. • At least one first-author publication in top-tier conferences or journals in the field. • Strong communication skills and the ability to work
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(and/or Python), LabVIEW and other scientific programming environments. Algorithmic background in image processing. Experience in signal/image analysis methods. Fluent spoken and written English. Strong
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versatile fabrication techniques and equipment are used. CFU are experts in synthetic aperture ultrasound imaging and has the SARUS experimental ultrasound scanner, which can acquire and process data from
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and chemistry, particularly X-ray spectroscopy applied to materials science. - Solid knowledge of image processing and materials characterization. - Experimental experience in imaging and programming
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, C., Zhu, G., Gao, X., Zhao, X., ... & Wu, X. (2022). Automatic reduction planning of pelvic fracture based on symmetry. Computer Methods in Biomechanics and Biomedical Engineering: Imaging
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activity and imaging attributes for various wheat varieties under examination. Other duties as assigned. Qualifications Education: A PhD degree in Computer Engineering, Computer Science, Electrical
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. Expertise required in one or more of the following areas: strong background in algorithm development, medical image processing, mathematical modeling, machine learning/AI. Also required are strong scientific
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significantly reduce the dependency on fossil-based materials in the adhesive industry by developing paradigm-shifting knowledge of bio-based adhesives and becoming a world-leading research environment in Sweden
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industry by developing paradigm-shifting knowledge of bio-based adhesives and becoming a world-leading research environment in Sweden. It is built around a network of top-scientists with expertise in polymer