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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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PhD position in Nanoscale Rock Magnetism and Magnetic Imaging Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 15 February
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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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. Kristian Bredies at KFU Graz. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
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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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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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& Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us
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You are a creative and enthusiastic researcher with an MSc degree in physics, mathematics, computer science, engineering, medical physics, technical medicine or similar. You are a team player with
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obtain high-resolution deep-tissue images from clinically relevant samples. You will realize this by applying superresolution and 3D Fourier OCT signal processing techniques. Third, the OCT system must be