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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in optical, mechanical and
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-ray diffraction and even more specifically to XRD-PDF (pair distribution function). The project is linked to crystalline and amorphous alloys, and in an industrial context to process design by
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 12 days ago
research lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and
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hospital environment. Responsibilities and qualifications The principle responsibility of the postdoc is to implement an improved processing pipeline for SURE and ULM imaging, which can be used in both a
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modern challenges in sustainability, nonlinear optics, photonic and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach
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translational research team and help shape the future of pediatric leukemia treatment through image-based drug profiling. We’re looking for a dedicated Postdoc to join our research team, where science meets
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug
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Research Infrastructure? No Offer Description Would you like to look into new sustainable materials and devices? Join us at Chalmers and the competence center FibRe to explore the power of X-ray imaging
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Would you like to look into new sustainable materials and devices? Join us at Chalmers and the competence center FibRe to explore the power of X-ray imaging applied to sustainable materials. About