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Field
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diffraction imaging modalities - topotomography, dark-field X-ray microscopy, and Bragg coherent diffraction imaging - has emerged over the past decade that can resolve 3D defect architectures and strain fields
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, Digital Mammography, Digital Breast Tomosynthesis, PET, CT, X-ray equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational
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areas include the development and implementation of advanced AI techniques for image-guided radiation therapy, including image reconstruction, enhancement, synthesis, segmentation, and registration, as
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programme Reference Number AE2026-0232 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0232
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field high-speed microscopic imaging Experience with control and synchronization of high-speed imaging and lighting systems Experience with image post-processing and data extraction Personal
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detection, statistical detection models and mathematical models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in
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Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering
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, including genomic, transcriptomic, epigenomic, proteomic, metabolomic, and circulating biomarker data derived from patient tissues and liquid biopsies. Our goal is to characterize the molecular processes
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) Lightweight DLT-backed credential gateway architecture for constrained IoT devices ii) Prototype implementation based on existing SSI and DLT components iii) Scalable evaluation environment and a complete
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image