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to deeply understand how various AI algorithms work and how to implement them efficiently on a wide range of existing and upcoming hardware. Help us push the boundaries of AI compute, collaborating with
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to focus
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. Contribute to open-source hardware and EDA tool communities. Participate in research group activities, seminars, and collaborations. Job Requirements: A Master’s degree in Electrical Engineering, Computer
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Senior Research Fellow to
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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research environments running smoothly. You’ll install, upgrade, and support hardware, software, and peripheral devices while helping identify innovative solutions that enhance teaching and research across
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computational models using visualization techniques. Implementation of computational models on hardware as a team member of overall project. Basic Qualifications Master's degree in Electrical Engineering or
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tools, install software and/or hardware, and write/share documentation for hardware, software and tools. Configure and deploy computers and necessary peripheral devices. Install and configure appropriate
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given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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, spike-based computation, and attention-inspired mechanisms can be combined to achieve accurate and timely predictions while explicitly considering hardware constraints, including latency, memory usage