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mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling quantitative comparison between cultivated meat and conventional animal meat, and identify key textural descriptors defining
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. The fellowship is due to start in July 2026. . WORK PLAN: The candidate must complete a PhD in accordance with the following plan: A. Development and optimisation of a 3D printer incorporating plasma technology
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supporting documentation, proven experience in all of the following areas: Computer vision and video processing (ingestion, ROI, 2D/3D keypoints, heatmaps); Deep learning and temporal modelling (CNNs
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functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS), National
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to develop systems for droplet generation, levitation and manipulation in 3D by shaping of ultrasound waves. Successful delivery of such systems will have revolutionary impact on drug discovery, disease
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content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g
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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating
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neutron techniques. Expertise in the processing and analysis of microstructural data, including 2D and 3D tomography Experience of data analysis from a wide variety of analytical techniques including, but
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fractures can play a key role on production performance. One of the persisting challenges is to create complex 3D fracture networks and solve multiphase flow efficiently. None of the existing tools can