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, e.g. HPC cluster (CPUs and GPUs) or cloud. Proficiency with high performance computing and system architecture. Advanced skills and experience associated multiple of the following: artificial
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(Java) and others. 4. Translate complex research requirements to suitable software solutions, reporting progress to relevant research stakeholders as appropriate. 5. Oversee multiple independent
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-of-the-art high-performance computing (HPC) infrastructure. In this position, you'll leverage your expertise to support and manage CSHL's AI-driven compute cluster powered by NVIDIA H100 GPUs, empowering
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expert with deep understanding of technical challenges associated with research across multiple disciplines. In this role you will deliver a service with the potential to support research in multiple ways
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free text of both biomedical literature and electronic patient records exploiting HPC, including GPUs embedded within NHS infrastructure. Development and deployment of ML operations software and tooling
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CSRPS. The successful candidate will have a capacity to conduct high quality research in multiple and coupled challenges in the following research areas: fire and combustion modelling, dynamic coupling
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models, (d) experience in using high performance computing systems with multiple nodes and GPUs and (e) drought metrics. Familiarity with Texas water resources and management practices. Experience working
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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, Git, Azure Data Studio, pandas, NumPy, and Scikit-learn. Experience with High-Performance Computing (HPC) platforms with advanced skills in SLURM-based multi-node, multi-GPU training, data parallelism
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, and execute multiple tasks simultaneously. Regular and punctual attendance in the workplace is required. US Citizen. Applicant selected will be subject to a government security investigation and must