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- King Abdullah University of Science and Technology
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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- Queen's University - Electrical and Computer Engineering, Smith Engineering
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programming in C/C++, preferably also Rust, and of POSIX, the Linux/Unix kernel or RTOS. Documented competence in parallel and distributed systems, including GPU programming (e.g. CUDA). Ability to explain
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++, Python, MPI, OpenMP, CUDA, OpenACC, etc.). • Excellent analytical, problem solving and decision-making skills • Creative and innovative individual with clear initiatives to improve lab operation • Flexible
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, CUDA), numerical linear algebra, sparse matrix computation, and low-latency system design. · Machine Learning and AI Theory/Algorithm Design: optimization theory and algorithm design for deep learning
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to gather requirements, manage expectations, and balance competing priorities. Experience supporting high-performance or GPU-enabled scientific computing environments, including NVIDIA/CUDA, performance
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, Kasm Workspaces, or similar technologies. Experience with GPU-enabled Linux workstations, NVIDIA/CUDA environments, scientific software stacks, or specialized research desktop environments. Exposure
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selection criteria Good oral and written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL
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written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL programming model Experience with
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 21 hours agoshared memory node parallel programming models (e.g. OpenMP, CUDA/HIP, Kokkos, etc.) o the composition of communication libraries and node parallel programming (e.g. MPI+X). o I/O communication
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postdoctoral research). Expertise in quantum algorithms and NISQ computing. Experience with hybrid quantum-classical workflows. Proficiency with Qiskit, PennyLane, CUDA-Q or equivalent. Strong programming skills
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. Experience with hybrid quantum-classical workflows. Proficiency with Qiskit, PennyLane, CUDA-Q or equivalent. Strong programming skills and familiarity with AI/ML tools. Experience in industry collaborations