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. Implement Docker-based deployment, memory footprint reduction, and GPU acceleration. Collaborate with algorithm and hardware teams for integration and benchmarking. Job Requirements: Master’s with experience
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big data technologies (e.g., Hadoop, Spark). Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data governance and compliance standards. Familiarity with CPU/GPU
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of this role is to oversee the construction and management of a High-Performance Computing (HPC) cluster comprising 4,500 CPU/GPU cores, BeeGFS storage, and Infiniband interconnects. The ideal candidate will
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research labs. Asset management and maintaining proper records for inventory auditing. Support all assigned laboratory teaching classes. GPU Cluster Management: administer, configure, and maintain a GPU
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: Proficiency in Python, PyTorch, JAX, or other ML frameworks - Computing: Experience with large-scale datasets, parallel computing, and GPUs/TPUs. - Algorithm Development: Ability to develop and optimize Machine
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Post Doctoral Position in GPU-Accelerated Optimization/Graph Algorithms Engineering Systems and Design, Singapore University of Technology and Design (https://sutd.edu.sg/About ) Graphics Processing
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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, variable model fidelity, and the use of hardware accelerators such as graphics processing units (GPUs). Job Description: To support research work under the project “Urban Sustainability” and support research
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simple standalone proposal for a suitable physical server with GPU, storage requirement to complex solution design and proposal for software solution implementation and deployment on multi-tier
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boasts comprehensive biophysics facilities (such as BLI and ITC), a full suite of proteomics equipment, and a modern high-speed GPU cluster for computing work. The successful candidate will enjoy ample