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distributed computing, machine learning, and architecture search, you will use leadership-class and exascale systems to evaluate and optimize new approaches. You will collaborate across disciplines, help
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data-driven decision-making in a variety of contexts . This position resides in the Human Analysis and Biometrics Group in the Advanced Intelligent Systems Section, Cyber Resillience and Intelligence
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modeling and data-centric strategies for data-efficient machine learning with considerations for fairness and privacy aspects. The position is part of the Wallenberg AI, Autonomous Systems and Software
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Postdoctoral Researcher in artificial intelligence and machine learning (AI/ML) for advanced tuning and diagnosis of particle accelerators. The Accelerator Operations and Physics (AOP) Group of the
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, machine learning, and statistical modeling methods for multimodal manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL ( Prof. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and
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development, funded-project support, or comparable scholarly work. Technical expertise in at least one relevant area, such as machine learning, autonomous systems, modeling and simulation, multi-agent
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automated vehicles; AI or machine learning for transportation; traffic modeling, control, routing, or optimization; transportation digital twins and simulation; vehicle energy modeling; heavy-duty vehicle
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professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Artificial Intelligence, Learning, and Intelligent Systems group
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Manufacturing: Advanced CAD/CAM, digital twins/threads, multi-physics simulation, generative design, and intelligent optimization. Hybrid Machine & Manufacturing Systems: Novel machine architectures and