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on fluctuation of fluorescent molecules methods as they don’t need any specific materiel or fluorophore. The super-resolved image reconstruction is formalized in mathematical terms as an inverse problem with
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Description of the offer : We have an open position at the Laboratoire Albert Fert in the field of “NV imaging of spin-wave dynamics in magnonics devices”. In recent years, NV based imaging
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internationally recognized expertise in skeletal tissue reconstruction and imaging, at the crossroads of biology, medicine, and engineering. Our team brings together orthopaedic surgeons, dentists, veterinarians
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work will be organized around the following areas: 1. Bee detection and tracking: Development of computer vision algorithms to identify and track each bee from high-resolution images, while
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
respecting the specific constraints of emergency situations. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted
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, including Titan Krios and Glacios microscopes, a fully equipped crystallography platform, advanced computing clusters, proteomics and BSL-2/3 imaging facilities. The institute provides numerous training
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signal and/or image processing. - Skills in modeling tools and time–frequency representations. - Practical skills in scientific programming, ideally in Matlab and/or Python. - Knowledge
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, including image acquisition, processing, analysis, and interpretation Develop and validate new imaging techniques, algorithms, or software to improve diagnostic accuracy and patient outcomes Collaborate with
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simulation tools and machine learning techniques. Initially, the work will be based on the design of a database of medical images, which will be processed using convolutional neural networks to identify design
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emerging nano X-ray imaging technologies with complementary integrative structural biology approaches for molecular mechanistic studies. Research environment The EMBL Grenoble Unit pursues an ambitious and