49 computing-optimization "Inria" Postdoctoral positions at Oak Ridge National Laboratory
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presentations. The Learning Systems Group at Oak Ridge National Laboratory advances the next generation of artificial intelligence by co-designing algorithms and computing systems to address
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, optomechanics, optical cavities, and/or photonic quantum sensing and computing. Experience with control electronics, data acquisition systems, machine learning and AI for control and optimization of
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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research at the
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale
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relationships, and distributed optimization of machine learning workflows. Collaborating with world-class scientists, you will enhance your expertise in resource optimization, scalable computing techniques
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areas central to dataflow and tensor optimization. Hardware/Software Co‑Design : Familiarity with architectural simulators (e.g., Gem5, SST) or HDLs. Quantum / Analog Computing : Exposure to quantum
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central to dataflow and tensor optimization. Hardware/Software Co‑Design: Familiarity with architectural simulators (e.g., Gem5, SST) or HDLs. Quantum / Analog Computing: Exposure to quantum programming
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with
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Requisition Id 17231 Overview: We are seeking a Postdoctoral Research Associate who will focus on the development, application, and optimization of an active learning workflow for dataset
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering