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GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer vision challenges) Experience with version control (Git) and collaborative development practices
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29 Jan 2026 Job Information Organisation/Company LINKS Foundation - Leading Innovation & Knowledge for Society Department Advanced Computing, Photonics, Electromagnetics Research Field Technology
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required to maintain a new GPU cluster at KMI, spending no more than 20% of the FTE. The anticipated starting date is between April 2026 to October 2026. The appointment will be initially 2 years and may be
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family
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GHz with 24-cores each) and 4 GPUs (NVIDIA Ampere A100 80 GB PCIe) with 512 GB RAM. The compute nodes are interconnected via a fast InfiniBand network that also connects to ~360 TB of compute storage
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advanced cyberinfrastructure in support of forefront particle physics research. The Lab operates one of the three sites of the Midwest Tier-2 (MWT2) federation, a data-intensive, high-throughput computing
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2027 - 03:31 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 3 months ago
30 Jan 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Researcher Profile Recognised
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samples. Optimize reconstruction algorithms for efficient large-scale 3D imaging, including high-performance and GPU-accelerated computing where appropriate. Design, optimize, and validate a refractive
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models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer