243 structural-engineering "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" uni jobs at Oak Ridge National Laboratory
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Qualifications: A BS degree in science, engineering, or related field with a minimum of 8 years of related experience. An equivalent combination of education and experience will be considered. Minimum 4 years in
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Requisition Id 15731 Overview: The Transportation and Waste Management Division at Oak Ridge National Laboratory (ORNL) is seeking qualified applicants for the position of Transportation Specialist. This position is responsible for a range of operational activities in the packaging and...
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after offer. Export control: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information
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success. Basic Qualifications: An AS or BS in a relevant scientific or technical field such as biology, chemistry, physics, or engineering. Proficiency in core laboratory techniques (e.g., pipetting
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rate of acceptance in open-literature publications. Understand complex science- and technology-related research and programs and edit and revise summaries, overviews, plans, nominations, letters, and
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providing support to their assigned science & technology organization. ORNL is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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for combining/separating chemicals, compounds, and related products and materials using principles and technology of chemistry, physics, mathematics, engineering and related sciences Assist IPMD supervision in
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considered. Must have a minimum of five years of journeyman-level experience in the electrical and/or electronic disciplines. Working knowledge of engineering drawings and electrical drawings and electronic
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supporting new research and engineering using ORNL’s Frontier exascale supercomputer for its dense GPU-based HPC resources to train, deploy models and create large-scale production datasets for high-impact