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(HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling algorithm that allows accurate simulation of fluid
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pour workflows scientifiques HPC H/F Ref. : 2026-40117 Fixed-term contract Essonne (91) Gif sur Yvette Stage - Bac+4/+5 - Méthode de maillage adaptatif pour un algorithme de transport Monte Carlo - H
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training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see here. The employment In connection with your admission
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industrielles et scientifiques. • MANTA : logiciel HPC de nouvelle génération, codéveloppé en collaboration avec d'autres équipes. You may be interested in these vacancies Stage - Bac+2/+3
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | about 3 hours ago
SpiNNcloud
- access to TUD’s HPC environment for ML training
- flexible arrangements for work hours to support a good work-life balance
- 30 days of vacation per year (based on a 5-day
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the Model Context Protocol (MCP). Experience developing and deploying containerized, reproducible workflows (e.g., Docker, Kubernetes/Helm) on HPC or cloud infrastructure (e.g., SLURM, OpenStack
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learning / computer science or a related discipline. Strong programming and data handling skills (e.g. git, HPC environments, etc) Fluency in English Preferred Machine learning experience applied to
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applications: one in HPC for radar cross-section computation in the defence sector (CESTA site), and the other in software dedicated to non-destructive testing (Saclay site, where the postdoctoral
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Monte-Carlo de nouvelle génération destiné aux applications de transport de rayonnement, doté de capacités HPC natives. Durée du contrat (en mois) 6 Description de l'offre Grâce aux récentes avancées
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mathematical problem-solving skills Excellent programming skills (Python and modern machine learning frameworks like PyTorch, JaX, etc.) and experience in working with HPC/GPU environments A track record