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Field
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challenges to transition our UV-CVD prototype into a scalable 200mm/300mm commercial alpha tool. This technology solves the critical interconnect RC-delay bottleneck in sub-3nm advanced CMOS nodes and has
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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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Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image
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Proficiency in CAD software (SolidWorks, Fusion 360, or equivalent) and rapid prototyping tools (3D printing, CNC) Strong foundation in mechanical design, prototype fabrication, and testing methodologies
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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the development of enabling technologies, prototype systems, intellectual property, and real-world sensing applications. • Opportunities to contribute to patent generation, technology commercialization, industry
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and appropriate manufacturing techniques, as well as the application of innovative and compact heat exchangers. Full attention will also be given to the development of a representative prototype, carry
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adaption, domain adaption) or image/video watermarking Demonstrated capability to conduct innovative research. The ability and willingness to adapt and incorporate novel ideas and approaches in scientific
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degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image processing is required. Ability to effectively and efficiently utilise industry
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Microscopy Imaging etc for the purpose of quantification of hardness, chewiness, springiness, fracture stress, and fracture strain for small sizes of food samples Compare the feasibility, resolution, and