307 application-forms-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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the candidate will manage are leading competitions for large first-of-a-kind equipment purchases, professional and consulting services, etc. This position resides in the Contracts Division in the Business
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across DOE laboratories, universities, and partner agencies to broaden the applications of AI-enabled hydrological modeling. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with
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class research capabilities focused on solving the world’s most challenging problems through artificial intelligence and data driven algorithms and systems. CSMD creates the mathematics, artificial
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adapt to ever changing needs. Special Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to
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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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applications. We seek individuals with technical and analytical skills who are comfortable working across disciplines to contribute and lead in fast paced, team-oriented environment. Successful candidates will
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Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be
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environment. Collaborative team orientation and willingness to learn. Basic Qualifications: BS/BA degree in Human Resources, Business Administration, or a related field. Attainment by May of 2026 and applicants
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to create wiring diagrams, loop drawings, PLC layouts, and P&ID drawings for complex control systems. Demonstrated ability to translate wiring list or other forms of documentation into design drawings
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. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top