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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 2 months ago
Devices" ). • Bring various improvements on the synthetic model (vasculature shape / aneurysm / background noise modelling) • Numerical simulations will be performed on a GPU HPC cluster. • Programming in
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-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency and reliability of scientific discovery
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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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. https://doi.org/10.1201/9781003558859-47 [2] Rui, S., Xu, H., Teng, L., Xi, C., Sun, X., Zhang, H., & Shen, K. (2023). A Framework for Mooring and Anchor Design in Sand Considering Seabed Trenches Based
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portal (http://concursos.ipb.pt ), including the following documents: a) Curriculum Vitae; b) Certificate of qualifications; c) Motivation letter Documents proving that you hold academic degrees
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running on HPC machinery - for the whole UK DRI community. Their mission includes creating material for the RTP upskilling, running upskilling events, establishing a national performance assessment service
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-of-the-art methods of High Performance Computing (HPC) Your profile Recruitment requirement ? Completed PhD degree, in particular in the subject areas of computational engineering or computational physics
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-scale foundation models, especially pipeline/model parallelism. Track record of creating HPC software for numerical methods. Domain expertise in areas like computational fluid dynamics, material
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researchers to integrate computing techniques into research activities using common HPC programming languages, tools, and techniques including Fortran and/or C/C++, MPI, OpenMP, CUDA An equivalent combination
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programme Reference Number AE2025-0538 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0538