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Field
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. Experience with cloud technologies, software, interfaces/APIs and containers. Experience with (and enthusiasm for) modern computing architectures including GPUs and other Accelerators. Experience in working
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. Evaluates and selects appropriate foundational models (OpenSource vs. Proprietary) and hosting strategies (Azure AI Foundry, AWS Bedrock, local GPU/TPU), directly influencing the University's cloud spend and
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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, PyTorch) for ML applications, training, evaluation, and deployment of models Use of GPU-based servers and modern IT infrastructure for training and inference Application of classical ML methods (e.g
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2026, UTC will deploy a state-of-the-art scientific computing and storage infrastructure, comprising a high-memory, GPU-enabled HPC computing node and a modular, scalable RAID-based storage system
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a member of the Canadian Centre for Computational Genomics (C3G) ARC team, the Software Infrastructure Developer will be supporting scientific research platforms deployed on the newly released
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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. Pay Grade: Context of the job: We are seeking a Research Software Engineer (RSE) to contribute
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Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoctoral position is associated to the ERC Synergy project PSINumScat
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If you are a current Barnard College employee, please use the internal career site to apply for this position. Job: Postdoctoral Research Fellow, Cognitive/Computational Neuroscience The Barnard
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towards a more sustainable future. The Core Unit High Performance Computing (HPC) at the Max Planck Institute of Geoanthropology is the central support unit and technical partner for researchers. We help