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Field
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a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The project integrates
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; Generating reliable data for publication in the projects to which they are assigned and recording all data and results in specified forms (paper and electronic); Publishing reproducible research; Interacting
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computational resources that are needed, but also because it is prone to undetermined error propagation and validation and because it is intertwined with multi-scale, turbulent dynamics. Reliable experiments
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magnetic experiments in the GFZ laboratory for Earth Magnetism in Time and Space, assessing the reliability of the magnetic signals and age-depth models for the cores and interpreting the determined field
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biology collaborators (and developing a biochemistry skillset to enable this if not already present); • an independent, well-organized, and reliable work style together with an ability and interest
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interdisciplinary research; • an independent, well-organized, and reliable work style together with an ability and interest in working in a small team; • good interpersonal communication skills and a
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capabilities in microscopy platforms for the CNMS research and user communities. Work with ORNL’s 3D printing and machining facilities to ensure the design and fabrication of high-quality, reliable assets
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an opportunity to make key contributions to the safe, reliable, and efficient operation of one of DOE's flagship accelerator projects. Essential Duties and Responsibilities: Perform FLUKA-based Monte Carlo
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for transportation and industry, and make the U.S. power system more reliable, affordable, and resilient. Innovator Fellows can spend up to two years participating in the program. When completing this application, you
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for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability