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Field
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, procurement, and deployment of High-Performance Computing (HPC/GPU) clusters and high-capacity data storage infrastructures in strict compliance with Spanish and EU public procurement regulations. Data
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background. • Programming expertise in Python, with experience in PyTorch or TensorFlow. • Familiarity with networking and edge computing (e.g., MEC, IoT, 5G/6G). • Analytical skills for designing and
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, and Arctic geosciences. The Centre is actively involved in the World Meteorological Organization (WMO) Polar Coupled Analysis and Prediction for Services (PCAPS) program. Through this engagement, MET
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international journals or conferences. Experience in predictive modeling for forecasting or recommendation systems. Strong programming skills in Python and AI frameworks (PyTorch, TensorFlow), including GPU/cloud
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science or engineering field; a completed PhD is an advantage Very good knowledge of software development with C++ and Python, as well as experience in GPU programming (e.g., CUDA or comparable frameworks
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heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and
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between Bonsai RX, animal tracking software, DAQs, and Unity), ROS-like systems, machine vision, GPU programming, shared memory, agent-based modeling, and/or game development. Physical Requirements
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conditions. This task will include the extension of recent work on model-order reduction applied to quantum circuits. The extension will cover quantum programs with loops and various noise effects. Task 3
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experiments, particularly ATLAS and DUNE. Contribute to the architecture and core development of the Phlex framework, emphasizing scalable, multi-threaded, and heterogeneous (CPU/GPU) computing models
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manufacturing. Your work will capture compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change within a GPU-accelerated solver to reduce simulation