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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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(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
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programme Reference Number AE2025-0540 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0540
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 1 month ago
, including cloud computing, cluster computing, or GPU-based acceleration; Excellent communication skills with a problem-solving mindset and the ability to work both independently and collaboratively with cross
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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into production in a cloud environment Minimum three years’ experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters Experience building advanced workflows such as retrieval