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Field
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for educational uses Good hands-on experience in programming, e.g., C/C++/C#, CUDA, Python, and scripting Track record in research and publication particularly in education Strong knowledge and hands-on experience
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topic Prior programming experience in Python is a must, C++ and CUDA experience are a plus Familiarity with PyTorch and modern deep learning frameworks Experience in training and evaluating computer
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., PyTorch, CUDA). Contribute to the ongoing development and maintenance of deployed applications (web frontend, mobile apps, and Flask API). Onboard new students and collaborators to lab resources, including
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Graphics, Augmented Reality and/or Image Processing is not mandatory but will be valued; Knowledge of CUDA, Holoscan, and other NVIDIA environments is not mandatory but will be valued; academic excellence
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computing Strong programming skills in C++ and experience with parallel computing (e.g., CUDA, MPI). Experience with tokamak edge gyro-fluid modelling Experience with continuous integration of scientific
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/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Machine Learning libraries such as Tensorflow or PyTorch Serial and parallel
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rendering into medical imaging workflows. A major focus will be on accelerating inference and training using GPU-optimised components, including custom CUDA kernels. This role offers a unique opportunity to
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
Galerkin spectral methods (CG and DG). Hands-on HPC programming (MPI, OpenMP, CUDA). Understanding of seismic workflows (modeling, FWI, RTM). This will be facilitated by collaborating with members of Makutu
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computing (HPC) systems, including GPUs, and programming, such as using CUDA, MPI, AI/ML/DL, and advanced debuggers and performance analyzers. Familiarity with working on open-source projects. About UF
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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