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modality for single-molecule localization. The main responsibilities will include: -designing and developing the optical instrumentation, -adapting and extending existing image and data processing tools
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are seeking a Ph.D. student to join our multidisciplinary team developing a radical solution for better detection and treatment that uses ultra-thin snake-like robots and advanced optical imaging techniques
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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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
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communication, organization, and interpersonal skills Attention to detail and accuracy Knowledge of digital image technology, photographic processes and ability to evaluate analog and digital image quality
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/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 packages
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wide range of academic fields, Ghent University is a logical choice for its staff and students. Image Processing and Interpretation (IPI, http://ipi.ugent.be ) is an imec research group at Ghent
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preferred. Experience: Two years of Radiology imaging experience, cross sectional imaging and/or computer assisted imaging preferred. Knowledge/Special Skills: For staff holding an ARRT license (not in MRI
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characterization (ultrasound, x-ray scattering, IR imaging), and experimental equipment design (CAD, controls (i.e., LabView, Python, Arduino, G-code), image/video processing (i.e., ImageJ). [1] A
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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