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Field
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to image the centre of live, intact, plant roots. The ability to observe dynamic cellular processes at the centre of a live root for the first time will unlock entirely new lines of biological inquiry
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promising imaging technology is proton-acoustics, relying on detecting acoustic waves generated by proton-tissue interaction for real-time in-vivo 3D proton beam imaging and dosimetry. However, proton
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-spectral microscopy framework that extracts meaningful spectral information from a single image, by combining innovative optical system design with learning-based data processing. The research aims
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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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are a university research group at imec-VUB in Brussels, with expertise in optical imaging systems and signal processing and the Department of Electronics and Informatics (ETRO ), an imec research group
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Department: Jiří Fajkus Research Group – Central European Institute of Technology Deadline: 25 Mar 2026 Start date: September 2026 Job type: full-time Job field: Science and research Come to CEITEC
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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Experience with deep learning for image analysis and/or medical image processing Knowledge of self-supervised learning, representation learning, and/or generative models Experience with multimodal machine
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly