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resources, including group-owned HPC clusters with PB-scale storage. Opportunities for professional development and international collaboration. How to Apply The University only accepts online application
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of scientific results and be well versed in data handling and linux/unix based high performance computing environments (HPC computing). The candidate must have good oral and written command of English. What we
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our growing research team. These positions focus on developing next-generation AI and high-performance computing (HPC) methods for computational imaging and spatiotemporal data analysis. We
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experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core
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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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included by harnessing high-performance computing (HPC) and employing novel multiscale methods that enable seamless propagation of ultrasound from the macro to microscopic level. The proposed framework will
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 days ago
have access to major national HPC facilities (Grid5000, Jean Zay, GENCI allocations), including large-scale GPU resources. Biomolecular function is driven by both structure and dynamics. Understanding
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Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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. Practical experience in working in R&D projects with companies. Strong Python stack; good software practices (git, testing). Comfortable with Linux/HPC environments. Preferred (nice to have) Experience with
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
translation models and medical images analysis are considered important assets. Established expertise in key machine & deep learning frameworks and toolsets. Experience in GPU computing, HPC, Containers & Image