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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 30259221159 Is the Job related to staff position within a Research Infrastructure? No Offer Description Mission: Develop a
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Sign In Create Profile Postdoctoral Research Associate (Electrical and Computer Engineering) Tucson, AZ, United States | req24681 Apply Now Share Save Job Posted on: 12/5/2025 Back to Search
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unprecedented power to uncover cell-type-specific and cell-state-specific genetic mechanisms underlying human biology and disease. The Postdoc joining this program will have the opportunity to: Drive high-impact
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description research activities in Optical Imaging -Research activities in experimental
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Deadline 11 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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. Candidates are expected to have experience in one or more of the following areas, such as: wireless networks/communications, machine learning/vision, intelligent transportation systems, intelligent sensing