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phlebotomy. Additionally, the GPU is home to the GI Division's Motility program offering short and long motility studies, Bravo, Impedance Probes and EndoFlip diagnostic tests. The GPU is also home to
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-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow
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Department of Computing is seeking a dedicated and skilled individual to manage our internal large-scale GPU infrastructure and cloud facilities. The Department of Computing wishes to recruit a
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Department of Computing is seeking a dedicated and skilled individual to manage our internal large-scale GPU infrastructure and cloud facilities. About the role The Department of Computing wishes
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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
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%). You will work on the extension of the DUNE-FEM package to support computations on GPU hardware with various types of Finite Element methods. This work is embedded in a research project considering
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for these architectures remains a key challenge. This project will explore how reconfigurable/spatial computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and
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obtained. The simulation activities must be conducted using high-performance scientific computing systems, with particular reference to the use of advanced architectures and GPU accelerators, in order to
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20 Dec 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
GPU computing; scripting in Python or Bash; and container orchestration tools like Docker and Kubernetes; and experience in cloud-based HPC or AI/ML workloads. 12/3/2025