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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. We are seeking a highly motivated Research Fellow to join our dynamic team
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3D Workflow Student Specialist - Libraries' Digital Fabrication (Spring) - Job Number: 260037 Organization : Library Administrative Serv Job Location : United States-Oklahoma-Norman Schedule : Part
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 6 days ago
Printing in Preoperative Planning. J. Clin. Med. 2021, 10, 917. https://doi.org/10.3390/jcm10050917 Ganguli A, Pagan-Diaz GJ, Grant L, Cvetkovic C, Bramlet M, Vozenilek J, Kesavadas T, Bashir R. 3D printing
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researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days 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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. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By combining untargeted metabolomics, high
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work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee . We are looking for a Research Fellow to work
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of metallic interfaces between two topologically inequivalent systems or simply between a topological material and vacuum, i.e. metallic surfaces for 3D topological insulators and metallic edges for 2D
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
modules leveraging deep learning for classical problems such as segmentation and 3D object tracking interfacing machine learning code and the robot using ROS2 contributing to the creation of datasets