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with a focus on complex shoulder girdle and chest wall pathology, alongside additional subspecialty topics. Our research program emphasizes advanced medical technologies, including 3D printing
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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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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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: Course Number and Title: VIS209H1S - Contemporary Printing Course Description: Introduction to contemporary printmaking that covers publishing to 3D printing. This course looks at the concept of copying
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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the field of research projects https://www.ncn.gov.pl/sites/default/files/pliki/uchwalyrady/2024/uchwa… Other criteria The perfect Candidate (F/M) is expected to: • have documented experience in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
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Website: https://med.stanford.edu/stankovic-lab.html (link is external) https://hellerlab-stanford.net/ (link is external) How to Submit Application Materials: Please send the following materials in a
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engineering, including (but not limited to): Imaging and Biomedical Devices: advanced biomedical imaging technologies; neuroimaging, optical imaging; ultrasonic imaging; multimodal and hybrid imaging systems
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data