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operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical
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& Qualifications: PhD in Chemistry, Materials Science or related discipline by the start date Expertise with ReaxFF force field development Expertise with AI methods Excellent oral and written communication skills
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results in peer-reviewed journals. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
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integrity, collaborate with others with multi-disciplinary backgrounds, support PhD students, have a professional approach and analyze and work with complex challenges. Preferred qualifications A doctoral
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. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical engineering, materials science, civil engineering, structural engineering, or a closely