12 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions at Fermilab in United States
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/07 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Fermilab is America’s outstanding laboratory for particle physics and accelerator research, funded by the U.S. Department
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commitment to equity, diversity, and inclusion. Application instructions: Interested candidates should submit via Academic Jobs Online https://academicjobsonline.org/ajo/fellowship/30895 1) cover letter, 2
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internship program is open to students pursuing physics, engineering, computer science, math, chemistry, or related majors. We strongly encourage students from non-HEP non-research focused universities
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, integrate, and operate state-of-the-art instrumentation with an international team of scientists, engineers, and technicians, including students at all levels. Play a leading role in analyzing scientific data
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. Further Info: https://www.ura-hq.org/awards/ura-early-career-award/ Or contact the Chair of the URA Early Career Award Committee, André de Gouvêa 847 467 6462. Nomination Materials Required: Submit
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AcademicJobsOnline: https://academicjobsonline.org/ajo/jobs/30897 Each candidate should submit: Cover Letter Curriculum vitae Research statement not to exceed three (3) pages giving a focused description of the
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relevant for the NTN fellowship. This information will be posted at https://ntn.fnal.gov/hosts/ . Current NTN postdoctoral fellows can be found here: https://ntn.fnal.gov/ntn-fellows/ . Application
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of the LBNF project, which is closely coupled to the DUNE experiment and is currently under construction at Fermilab and at the Sanford Underground Research Facility in South Dakota. The Director will also be
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: Batavia, Illinois 60510, United States of America [map ] Subject Areas: Physics / High Energy Physics High Energy Physics / Neutrino physics and Astrophysics , nuclear physics and technology , Physics
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: • PhD in astrophysics, physics, software engineering, computer science or related fields • Strong background in machine learning or statistical methods • Demonstrated experience in scientific computing