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Field
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system and application issues involving compute, GPU, storage, and scheduling systems. Deploy and support AI workloads, including TensorFlow, PyTorch, and Jax. Conduct vendor evaluations, proof of concept
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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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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Computer (HPC) with its sizable cluster of CPUs, GPUs, storage arrays and high speed networking as well as our cloud (AWS) based Data Safe Haven, used for researchers working on sensitive data. As Research
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4 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de la matière condensée Research Field Physics Chemistry » Computational chemistry Researcher Profile First
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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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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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specialists and set clear priorities to realize projects effectively and on time, building infrastructure that makes complex analyses faster and more efficient. Your team optimizes virtual computing power (GPUs
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computing, electronic, fabricating, testing, printing, and word processing. High speed computing facilities are available at the National Supercomputing Center for Energy and the Environment hosted in
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for mechanical, electrical, cooling, and infrastructure systems that underpin Cornell's computing environment, including High-Performance Computing (HPC) and Graphics Processing Unit (GPU)-intensive workloads