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Actions Home Help Job Description More Actions UC Davis Health Careers Sign In New User Previous Job Job Title Pharmacy Technician 2 (CUDA EVE) Next Job Apply for Job Job ID 78096 Location Sacramento Full
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++, Rust, or similar languages. CUDA experience is a plus. Passion for interdisciplinary research in an innovative and collaborative environment. Application Process: Submit your CV, cover letter, and
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++ and CUDA) Code verification and validation of simulations Providing simulation results to project partners and customers Active participation in project, group and lab meetings, knowledge transfer
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computing paradigms (e.g., MPI, CUDA, etc.); designing and managing new electromagnetic solvers and associated codebases in C++ and/or Python. This is a particularly good opportunity for students who
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-motivation skills Strong foundation in CFD with proficiency in Python and AI/ML techniques, and additional experience in parallel computing tools such as CUDA and MPI Experienced with CFD simulation tools (e.g
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London School of Economics and Political Science; | London, England | United Kingdom | about 9 hours ago
systems (e.g. CUDA, OpenCL). Advanced Linux system administration skills, particularly for research computing environments. Experience with workload scheduling tools (Slurm, PBS, HTCondor) for efficient job
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the core computing languages necessary for machine learning and high-performance computing, including C++, Python and CUDA Knowledge of machine learning, high performance computing and data science Excellent
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, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov
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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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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