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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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Requisition Id 15885 Overview: We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation
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ability to acquire new knowledge and learn new skills. Demonstrated interpersonal, verbal and written communication skills. Ability to develop plans to address complex problems, be proactive, work
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competing structural phases and the vibrational and electronic structure in materials with defects and disorder. This effort will further seek to implement strategies to leverage machine learning techniques
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environments for several hours at a time; lifting equipment up to 30 lbs) Ability to proactively work independently and as part of a team Demonstrated ability and willingness to acquire new knowledge and learn
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to learn new material and technology rapidly and put that learning into effective practice. Demonstrated ability to problem-solve and debug application code independently. Preferred Qualifications
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personally responsible for ensuring safe operations, raising safety concerns, using a questioning attitude, considering hazards for every task and where learning never stops. Continually seek ways to increase
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learned sent to designer staff. Works with US ITER document Control Center to ensure accuracy and completeness of drawings and other engineering design documents in the DCC system Provides other functions
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. Stakeholder and External Engagement Serve as a resource to internal and external stakeholders, communicating best practices, lessons learned, and challenges related to operations. Participate in national and
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more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http