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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design
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for hybrid HPC + AI applications What you will do You will investigate software-hardware codesign innovations for next-gen artificial intelligence high performance computing systems. The Compute System
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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, graduate, and undergraduate students to advance project goals. Provide technical guidance and mentoring on CFD, numerical methods, and high-performance computing workflows. 15% - Publication & Dissemination
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experience using OpenMP, MPI, and CUDA. Preferred Qualifications: PhD in Chemical Engineering or equivalent. Post-doctoral research experience. Experience with high-performance computing and programming in
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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technology with potential for superior performance. This project focuses on developing high-efficiency III-V/Si tandem solar cells by integrating gallium arsenide (GaAs) layers on low-cost, abundant