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of the Empire AI Consortium, researchers have access to state-of-the-art computational infrastructure, including large-scale GPU clusters and high-performance computing resources. The Institute has
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person will focus on either using and/or developing Vlasiator. Prior knowledge in at least one of the following areas is required: GPU technologies, high-performance computing, parallelisation algorithms
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to roll out an advisory track in Computer Engineering, we are seeking qualified experts in Computer Networks, Computer Organization, Data Analytics, Cyber Security and Privacy, Edge/Fog/GPU Computing
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; • Have experience in software development/engineering in at least one general-purpose programming language (e.g., Python, Julia, C/C++, Fortran, Rust). Experience with scientific, numerical, and/or GPU
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communities, most importantly in helmholtz.ai, the Helmholtz Artificial Intelligence Cooperation Unit: https://www.helmholtz.ai Presenting research results at scientific meetings, conferences, and as scientific
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(Docker), set up CI/CD pipelines, and deploy for inference on GPU/CPU servers. Data engineering, Governance, and Documentation Manage and de-identify image and text datasets, track experiments (e.g., MLflow
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applications from all qualified candidates regardless of gender, background, or identity. Women and underrepresented groups are strongly encouraged to apply. Where to apply Website https://emploi.cnrs.fr
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, especially GPUs for AI calculations. Experience with research and/or practice in one or more STEM disciplines. Experience with collaborating with researchers (faculty, staff, postdoctoral researchers, graduate
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computer hardware and network infrastructure for the ITS Research services. This covers the 12000 core, 100 GPU QM High Performance Compute cluster (see https://docs.hpc.qmul.ac.uk ), various hosted
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, immersive, and interactive technologies. Highly proficient in real-time engines, AI-assisted tools, GPU-accelerated platforms, and emerging computational design workflows, you combine creativity with