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well as represent the organization via technical presentations in workshops and conferences. Basic Qualifications: Ph.D. in computational physics or a field relevant to the job duties such as physics, mathematics
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third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email
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delivering solutions to pressing energy storage problems essential to economic develop and security of the United States. As part of our research team, the candidate will be expected to work across a variety
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have trouble applying for a position, please email [email protected]. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans
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relevant radionuclides. You will be expected to independently drive research projects forward, troubleshoot challenging synthetic and coordination chemistry problems, and generate high-quality, publishable
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a
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have trouble applying for a position, please email [email protected]. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans
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. Knowledge of fiber manufacturing processes and structure-property relationships is a plus. Strong analytical and problem-solving skills. Excellent written and verbal communication abilities. Experience in
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) advanced cooling solutions for energy systems; (3) thermal management for electronics and data centers; and (4) separation processes for building environments. Develop experimental setup, problem-solving
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well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem