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at UC Irvine invites applications for a postdoctoral research position focused on accelerator-based searches for dark matter and on instrumentation and TDAQ R&D. The position entails mainly work within
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. Instructions to Applicants: For full consideration, applicants must apply for the Project Manager at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references
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. These values are foundational to EHE - who we are and what we strive to be. By focusing on them, we will enrich the education of our students and accelerate the efforts of our faculty and staff. Our local
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their disciplines and facilitate collaboration between research, teaching, and operational units to accelerate translation of AI innovations into practice. Oversee and drive the implementation of ethical AI
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, investigating quantum mechanical effects in information processing within (quantum) neural networks, or in elementary particle physics at high-energy accelerators. The aim of the professorship is to closely
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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Institute and New York’s Empire AI consortium, this effort will accelerate breakthroughs in quantum photonics, nanophotonics, metamaterials, and other fields broadly related to photonics and electromagnetics
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accelerator produces intense X-ray beams that are used by thousands of scientists each year for experiments in diverse fields such as biology, medicine, environmental sciences, cultural heritage, materials
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Research. In addition, together with the Collider-Accelerator Department, the Biology Department manages the NASA Space Radiation Laboratory (NSRL) at Brookhaven, which is used by radiobiologists and
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computing where the focus will be to work on to the current efforts on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing