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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 21 hours ago
. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
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. Key attractions are access to a high-performance computing cluster (GPU/CPU and more than 300TB of data), two 3T Prisma MR scanners, and an MR compatible digital EEG system as well as collaboration
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- and multi-GPU setups, and ability to work with existing codebases to quickly get training pipelines running Deep research interest in one or more of the following areas: 3D Gaussian Splatting, Neural
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for heterogeneousCPU/GPU architectures, with a strong emphasis on performance profiling and optimisation. You will manage defined tasks and milestones and collaborate closely with colleagues across the consortium
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containerisation, orchestration platforms, and CI/CD practices. Benchmark, profile, and optimise AI applications across software and hardware layers to maximise GPU cluster efficiency Build research community
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segmentation." CVPR. 2022. [3] van Spengler, Max, and Pascal Mettes. "Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space." ICML. 2025. [4] Pal, Avik, Max van Spengler, Guido Maria D'Amely di
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will benefit from the Jean Zay supercomputer to perform intensive GPU calculations but also MARBEC/LIRMM GPU shared resources (https://umr-marbec.fr/recherche/dispositifs-de-recherche/den/ ). His/her
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supporting new research and engineering using ORNL’s Frontier exascale supercomputer for its dense GPU-based HPC resources to train, deploy models and create large-scale production datasets for high-impact
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, energy consumption, and accuracy.; ; Training deep learning models, especially in LLMs, faces critical challenges that compromise the optimal use of GPUs. These bottlenecks result in poor computational
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analysis and tuning. Excellent C/C++ and Python programming skills. GPU programming would be welcome (CUDA). Required Documents Resume