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-of-the-art facilities in genomics, imaging, cell engineering, protein production, animal and plant housing, microfabrication and prototyping (FabLab), and high-performance computing and IT services. As part of
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, paleopathologies, etc.), supervise/coordinate additional analyses (medical imaging, chemical, isotopic and DNA analyses, etc.) in collaboration with partner laboratories; - Contribute to the project's scientific
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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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, advanced imaging techniques, and image analysis (https://histomics.institutducerveau-icm.org/ ). Within the histology platform, the research engineer will be responsible for conducting spatial
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 10 days ago
of this project is to develop advanced numerical strategies for passive imaging of the Earth and the Sun. The position focuses on enhancing the capabilities of our massively parallel software, Hawen (https
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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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, 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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
Offer Description Within the framework of the GraphRec Project, our team investigates improvements to the relational learning approach. Relational learning has recently emerged as a powerful paradigm for
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the design of resilient agroecological orchards. FSPMs simulate the interactions between plant 3D structure, physiological processes, and the environment. They are particularly relevant for fruit trees, where