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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description [Background of the recruitment and description of the project] * Background
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. Experience with heterogeneous and parallel computing technologies, programming models, or accelerators, including CPUs, GPUs, FPGAs, and emerging computing technologies. Familiarity with quantum software
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: Topologically-Informed Large Language Models for Innovation Intelligence. The project is funded by FFplus, a EuroHPC Joint Undertaking initiative under the European Union's Digital Europe Programme, and brings
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. Applicants are expected to have strong programming skills in Python, hands-on experience with PyTorch, and practical experience with GPU computing. Experience with engineering simulation, computational
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CPU and GPU based HPC systems. Exploration of the capabilities of DPU/IPU SmartNICs to support network security isolation, platform level root-of-trust, and secure platform management/partitioning
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
transformed noninvasive cardiac assessment through physics-based modeling and AI-driven quantification of coronary physiology. His research program focuses on: Image-based modeling of coronary anatomy and
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software components into a functioning imaging platform suitable for laboratory and pre-clinical/clinical-environment testing. Plan and execute research studies, including phantom, benchtop, and application
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institutional clusters. Write robust Linux bash scripts and job submission scripts for SLURM and PBS environments, including multi-node GPU/CPU workflows, monitoring, restart, and post-processing pipelines
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closely related area. 3. Strong written and oral communication skills, including the ability to contribute to publications, reports and presentations. 4. Excellent programming skills in Python, Julia, C
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compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience