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experimental setup, data acquisition and data analysis. You will have the opportunity to work with users on a wide range of science topics covered by the instruments. It is expected that you pursue your own
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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, security and data integrity across compute and storage systems Lead operating system and third-party software maintenance efforts, balancing security requirements with research uptime Design and implement
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on identifying mechanisms through which energy generation, infrastructure, and operations influence ecosystem structure, function, and services. Using integrative modeling, data synthesis, and systems analysis
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media content across relevant platforms; monitor performance metrics and use data-driven insights to refine content strategy and improve engagement. Serve as the primary point of contact for BESSD digital
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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open and transparent in communicating information to your groups and communicating staff achievements and changes to stakeholders in a timely manner. Working with Group Leaders to ensure staff actively
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Laboratory. Major Duties/Responsibilities: Develop and implement advanced time-frequency and spectral analysis techniques for high-frequency voltage/current waveform data Apply wireless PHY-layer concepts
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Requisition Id 15882 Overview: We are seeking a Research Staff Scientist to advance our fundamental understanding in 2D materials, thin films, and hybrid nanostructures for quantum information
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section