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                accelerator structures, as well as conducting beam-based experiments. Key Responsibilities: Assist in the design and testing of beam diagnostic device operating at mmWave frequencies. Assist in conducting beam 
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                application teams and contribute to broader initiatives, including the American Science Cloud (AmSC) AI Services efforts, and to help us with design of future systems and data-management solutions to meet needs 
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                pipelines, including pulse processing (e.g., optimal filtering), pileup mitigation, drift correction, and energy-scale stability. Design, propose, and execute high-impact in-house spectroscopy experiments 
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                ”, “Firstname_Lastname_cover_letter”. Include links to code examples in your CV (e.g., GitHub page, past project repositories). Position Requirements A recent PhD (completed within 5 years, or soon to be completed) in computer science 
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                engage across multiple projects and research applications. Experience in the following areas is a preferred and will help the candidate succeed: Li-ion batteries, materials characterization, critical 
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                simulations, design and conduct experiments, and analyze multimodal data streams in a continuous, real-time loop with minimal human intervention (https://www.nature.com/articles/s41524-024-01423-2 , https 
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                photonic platforms through nano- and meso-scale lithographic fabrication. This position supports two complementary, three-year Laboratory Directed Research and Development (LDRD) projects focused on hybrid 
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                through the design and synthesis of nanoscale epitaxial oxide thin films. This position supports a three-year Laboratory Directed Research and Development (LDRD) project focused on developing scalable 
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                coherence studies Background in quantum device design, fabrication, and characterization Familiarity with AI-assisted measurement techniques Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker 
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                -driven modeling (including ML/AI where appropriate) to help anticipate vulnerabilities and inform decision-making for energy deployment and national competitiveness. In this role you will : Conduct and