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tensor networks and matrix product states Expertise in quantum platform software such as Qiskit or cuda-q Other Information: While principally based at Brookhaven National Laboratory, candidates should be
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MKL, Intel oneAPI, Matlab, CUDA, and real-time audio processing. • Experience with C++, Java, and Python. *Incumbent will be required to submit for a Department of Defense Secret-level security
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commonly used on Unix systems. Additional languages or experience with libraries for utilizing GPU hardware efficiently, e.g., CUDA, are a plus. Experience in AI programming with, e.g., PyTorch(-DDP
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: development of methods for acceleration of parallel applications in the High Performance Computing (HPC
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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representations. Experience scaling model training/inference on GPUs; familiarity with CUDA-adjacent performance considerations, distributed training, or workflow orchestration. Compensation, Benefits and Position
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
programming skills in languages such as Python, C/C++ and CUDA # Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch # Mandatory experience with High-Performance Computing (HPC
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to run on parallel environments. CUDA and Fortran programming expertise. Experience with HPC job schedulers, especially job submission is required. Slurm scheduler experience. Experience and understanding
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 3 months ago
environment Excellent programming skills in languages such as Python, C/C++ and CUDA Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch Mandatory experience with High-Performance
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duration of 36 months. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5804-ISAGUI-012/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent