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cutting edge of medical physics, oncology, and imaging science, contributing directly to the future of pediatric care. Where to apply Website https://www.academictransfer.com/en/jobs/357579/phd-position-in
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of cancer treatment for patients as well as reducing workload for clinicians. Collaborate with experts in AI, data science, and medical imaging to develop integrated solutions. Engage in translational
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hold a Master’s degree in neuroscience, medicine, or a related field; a technical degree with affinity for medical imaging (such as biomedical engineering) is also suitable when supported by proven
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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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: Solid experience in experimental ultrasound imaging Solid experience with ultrasound sequence programming Solid experience with ultrasound image reconstruction and signal processing Desirable skill
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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experts. You will design imaging sequences and develop beamforming and signal processing algorithms to achieve ultrafast frame rates and detailed visualization of cerebral vasculature. You will work closely
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Earth science disciplines The selected candidate may be asked to provide hands-on educational processes that engage upper year and graduate students in real world applications of advanced electron
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. mechatronics, control theory, computer science, image processing) as well as a solid foundation in mathematics and physics is strongly desirable. Proficiency in the use of computer aided engineering tools is an
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require the application of novel methodologies based on modern Mission Engineering, new system modelling techniques and new methods to compute aggregated service performances; new test beds to validate