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applications of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to
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https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software Program (WASP) is
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and practice across five core domains: Asset & Maintenance engineering, Intelligent Manufacturing Systems, Personalised Health Technology, Resilience Engineering, and Sustainable Production, Energy
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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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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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(Understanding Large and Complex Power Systems) addresses this with a state-of-the-art real-time power system simulator: a large RTDS cluster at TU Delft's ESP Lab that simulates thousands of nodes in
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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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closely with the DESY-MXL group and other beamline scientists on defining requirements and validating results Document all developed systems, commission hardware and software, and ensure knowledge
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Postdoctoral Scholar through UCF’s Preeminent Postdoctoral Program (P3) to conduct research at the intersection of structural dynamics and sensing, human-centered intelligent infrastructure, signal
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shaping setup closer to the photocathode Collaborate closely with the DESY-MXL group and other beamline scientists on defining requirements and validating results Document all developed systems