280 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Oak Ridge National Laboratory in United States
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Requisition Id 15759 Overview: The Emerging Technology Analysis Group (ETAG) at ORNL seeks applicants for our Emerging and Disruptive Technology Enforcement Liaison position. We are looking
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Requisition Id 15786 Overview: ETAG studies new and disruptive technologies that could affect U.S. public safety and national security. Our team blends scientists, engineers, and analysts to spot
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Requisition Id 15898 Overview: The Oak Ridge National Laboratory (ORNL) seeks to hire a Technology Control Officer (TCO) to support the laboratory’s research security initiatives. This position is
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Requisition Id 15789 Overview: The Enriched Gaseous Chemistry Group is seeking a Gas Dispensing Engineer or Chemist. This position will have two primary functions: conducting the dispensing
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Requisition Id 15788 Overview: The Enriched Gaseous Chemistry Group is seeking a Gas Dispensing Engineer or Chemist. This position will have two primary functions: conducting the dispensing
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Requisition Id 15751 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Machine Learning Engineer position
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Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: A PhD in physics, chemistry, biochemistry or a related field completed within the last five years
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Requisition Id 15974 Overview: We are seeking a Computer Engineer with a focus on Hardware Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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Requisition Id 15788 Overview: The Enriched Gaseous Chemistry Group is seeking a Gas Dispensing Engineer or Chemist. This position will have two primary functions: conducting the dispensing
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). Major Duties/Responsibilities: Develop AI/ML models and systems for diverse data and mission contexts Design and implement reproducible pipelines for data acquisition, feature engineering, model training