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at scale. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks. Effective communicator in both
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development. Experience using virtualization-based solutions and/or IaaS platforms. The ability to communicate effectively in both verbal and written forms. Flexibility in R&D assignments. Ability
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learning algorithms. Expertise in object-oriented programming, scripting languages, and modern software engineering practices for research codes. Demonstrated effective written and oral communication skills
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++. Evidence of scholarly productivity, including peer-reviewed publications and conference presentations. Excellent written and oral communication skills and the ability to work effectively in a collaborative
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, digital twin, surrogate and reduced-order models and machine learning tools for part qualification and quantification of distortion, residual stress, microstructure and fatigue. Effective interpersonal
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on performance and the availability of funding. Major Duties/Responsibilities: Work closely with ORNL researchers in using the resources of the OLCF effectively and efficiently, including: Developing
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. Effective communicator in both verbal and written forms. Ability to collaborate with scientists, engineers, and sponsors. Interest in mentoring student internships. Applicants cannot have received their PhD
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will develop materials and processing technologies that will result in a transformational improvement in gallium and Germanium and rare earth magnetic material extraction methods from naturally occurring
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implementation of the LEGEND-1000 experiment, and pursue R&D that extends the physics potential of low-background, rare-event searches. The successful candidate will work closely with a range of students, other
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communication skills, a proven publication record, and effective interpersonal skills. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must