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Field
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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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expected to generate new research ideas and lead development of new research proposals. -You will also be expected to design and develop a cleaning-in-place (CIP) system for efficient and reliable equipment
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unfulfilled. This work has the potential to introduce greater onboard autonomy, thereby enhancing mission reliability and the satellite's nominal operational capabilities. Scientifically, you will in particular
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cleaning-in-place (CIP) system for efficient and reliable equipment cleaning. -In this position, you will collaborate with a highly interdisciplinary team within the University of Minnesota and partner
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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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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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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 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