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. Our research takes a multifaceted approach, combining imaging of organoids and animal embryos, mechanical measurements using atomic force microscopy (AFM) and other in-house technologies, as
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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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Architecture Design (Social Science) might be for you. We are seeking an enthusiastic, self-motivated, and resourceful PhD student, to contribute to the generation of new knowledge on the topic of 3D digital
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anthropogenic impact on past biodiversity and its transformations, and refine the recognition of extinct animal varieties or those with particular adaptations by combining methods borrowed from archaeozoology, 3D
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synthesize and sinter bulk ceramics in seconds, Science (80-. ). 368 (2020) 521–526. https://doi.org/10.1126/science.aaz7681. Ceramics; Additive Manufacturing; Rheology; Colloidal Chemistry; 3D-Printing; Cold
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 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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the technological hurdles at the interface of these disciplines to maximize device sensitivity and deliver a functional prototype, fully validated for transfer to industrial applications. You will be
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, their cross-talk with hepatocytes and ductular reaction (DR) cells, and how these interactions determine regenerative capacity. Using advanced imaging, spatial transcriptomics, and innovative 3D culture systems
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imaging of flowing fluids) is a non-invasive imaging technique that measures 3D and time resolved velocity fields in opaque fluids, making it uniquely valuable for studying flows under realistic operating
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Assistant Research Professor (Research Track), Radiology and Imaging Sciences Posting Number req24876 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu