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Field
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of accidentals and low-energy signals, characterize background populations, improve event reconstruction, and understand detector effects. They will contribute to LZ operations and performance optimization
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to investigate the neural mechanisms underlying motor learning and motor memory in mice. Establish and optimize all-optical two-photon neurophysiology and optogenetic approaches to examine motor cortical
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. This position resides in the Manufacturing Systems Analytics group in the Digital and Secure Manufacturing Section, Manufacturing Science Division, Energy Science and Technology Directorate (ESTD) at Oak Ridge
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
mechanisms that regulate chromatin remodeling, transcriptional activation, and gene expression. Using a combination of genetic, biochemical, cell biological, and genomic approaches, the researcher will
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of construction of the XLZD fieldcage. On LZ their analysis will enhance the separation of accidentals and low-energy signals, characterize background populations, improve event reconstruction, and understand
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postdoctoral position focused on innovative research in coupled transport-energy modeling and optimization. We are looking for a postdoc to join our team. Become part of our innovative group and contribute
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molecular and cellular techniques such as gene cloning, PCR, western blotting, transfection and transduction, drug treatment, cell culture, flow cytometry and cell sorting. Experiences in handling mice and
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Experimental High Energy Physics beginning no sooner than August 1st, 2025. The successful candidate will join the Experimental High Energy Physics group led by Profs. Brinkerhoff, Dittmann, Hatakeyama, and
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Jun-26 Location: Upton, NY, Type: Full-time Categories: Academic/Faculty Internal Number: JR102520 The Energy