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reconstruction algorithms, enabling high-resolution, high-speed, and deep 3D quantitative imaging. In collaboration with the Department of Clinical Medicine (UiT), the system will be evaluated for dynamic imaging
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Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical
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quantitative image analysis, single-cell RNA-seq, as well as 2D cell line and 3D organoid culture (including maintaining stocks of lines). Additional techniques and experimental procedures may include spatial
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neutrophils, tumor cells, CD8+ T-cells, and cancer-associated fibroblasts, within a biomimetic 3D hydrogel that replicates the tumor microenvironment. Observing neutrophil behaviour: Automated image analysis
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genotyping), tissue sectioning and immunohistochemistry/immunofluorescence, confocal and light sheet imaging and quantitative image analysis, single-cell RNA-seq, as well as 2D cell line and 3D organoid
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Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender
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intussusception reductions. The section supports a 3D and virtual reality (VR) imaging lab, a tumor metrics (response evaluation) lab, and receives assistance from three physicists who provide expertise across all
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%): A.1. knowledge and demonstrated experience developing 3D-projects (35%); A.2. Experience with capture of image and áudio, vídeo edition (Adobe Premiere or software equivalente, Adobe Audition
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:30pm. Sr. Mammography Technologist: A CRT licensed Mammography Technologist performing screening and diagnostic breast imaging and procedures. This technologist must be able to produce ACR quality images
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | about 2 months ago
-9789, https://doi.org/10.1016/j.promfg.2020.05.100 . Waad Q. Shiaa, Amjad B. Abdulghafour; Omar H. Hassoon. 3D reconstruction from CT images utilizing the open-source tool, AIP Conf. Proc. 2024, 3079