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Field
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science/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
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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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on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
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Biomedical engineering Physics or Applied mathematics You present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing programming skills (Python, C
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 6 days ago
given reconstruction (considered as an image) from apriori information (the measured data-set, simulations, map of uncertainty). Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026
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coupled neuronal and vascular dynamics of the human retina. Scientific Objective The goal of this PhD project is to develop new optical methods and advanced image-processing approaches to simultaneously
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regarding the positions, please contact Rajmund Mokso (rajmo@dtu.dk). You can read more about the department https://physics.dtu.dk and the 3D imaging center https://3dim.dtu.dk . If you are applying
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-positions-application/list-of-phds APPLICATION Deadline: 15th Apr, 2026 Application open: 5th Jan, 2026 Eligibility criteria and application procedure: https://www.eu4greenfielddata.eu/phd-positions