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molecular imaging research program. This platform will support translational studies mainly in oncology, through quantitative multimodal imaging (PET-CT, SPECT-CT, optical imaging, autoradiography
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images of CH₂ and CH₃ bonds required for constructing histological images [2]. This Postdoctoral research project aims to develop a new technology based on photo-thermal stimulated Raman scattering
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research group led by Dr. You Leo Li at The University of Texas at Dallas is excited to invite applications for postdoctoral scholar positions. We’re at the forefront of medical ultrasound imaging and
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that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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computer science, artificial intelligence, computer vision, machine learning, or a closely related field. They should demonstrate: strong expertise in deep learning, computer vision, and generative models, a
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products from airborne and space-borne imaging spectroscopy missions, e.g., the HyspIRI airborne campaigns, DESIS, HISUI, and Hyperion. This effort will also inform the science data processing architecture
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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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21 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Recherche sur la Conservation Research Field Chemistry Chemistry » Computational chemistry Researcher Profile Recognised
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during surgery or endoscopic exploration. This postdoctoral position aims at developing innovative deep learning algorithms to help histology classification. Both classical histology based on hematoxylin