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for reproducible, efficient and scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing
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) or HPC programming (MPI, OpenMP, CUDA, GPU computing) is considered an advantage but is not required Motivation to conduct excellent scientific research and publish in leading international journals
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health and welfare benefits. A supportive team environment that promotes collaboration and knowledge sharing. Access to world-class computational infrastructure, GPU-based computing environments, and
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with transistor-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard
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-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard circuit simulation tools
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The Chinese University of Hong Kong, Shenzhen | Eastern Shores, KwaZulu-Natal | South Africa | 24 days ago
massive GPU clusters and high-performance computing. Guaranteed Talent Pipeline: Generous, guaranteed quotas for PhD students and postdoctoral fellows. Premier Platforms: Access to 120+ research
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will leverage GPU computing on the LUMI supercomputer, one of Europe’s fastest, to perform state-of-the-art molecular simulations. The position includes secondments to industry partners for
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 14 days ago
expertise in nephrology and to the bAIome high-performance computing infrastructure. The PhD student will be based in Hamburg, with regular joint meetings with the partner group in Aachen.
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stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and high-performance computing infrastructure with GPU clusters for
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. Our research facilities include modern GPU computing resources, shared data and annotation infrastructure and access to relevant text corpora. Principal supervisor: Associate Professor Desmond Elliott