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at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/21805584/research-assistant-in-the-division-of-science-x5b-computer-science-x5d-dr-riyadh-baghdadi Return to Search
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possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We don’t believe in “one-size-fits-all
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Posting Details Posting Details Posting Number S06554P Position Title HPC Research Scientist II Functional Title High Performance Computing Research Scientist II Department High Performance
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dedicated CPU+GPU cluster at the Massachusetts Green High Performance Computing Center. The appointment will be for a maximum of three years, with annual renewal contingent on performance. Candidates must
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partners ML Systems & Infrastructure Design, build, and operate reproducible ML pipelines for training and inference (e.g., Snakemake or equivalent) including GPU/CPU scheduling, job queuing, and fault
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 months ago
, embeddings with transformers, training with flow matching) and high performance computing (e.g. handling large-scale parallel simulators, multi-node and GPU training on large supercomputers). When considering
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://www.rc.ufl.edu/about/hipergator/ ), and the AI NVIDIA GPU SuperPOD (https://news.ufl.edu/2020/07/nvidia-partnership/ ) supporting UF’s campus-wide AI initiative (https://ai.ufl.edu ). These resources are available
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programme Reference Number AE2025-0510 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0510
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in the College of Engineering. UNLV GPU Cluster (named RebelX) is also available for A.I. research and education. GPU Cluster, supported by NSF MRI (#2117941), provides high-performance computing
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. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines and