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salt breeders) is a plus. Experience in the analysis of heat transfer systems. Working knowledge of computer languages such as C++, FORTRAN, or Python. Experience with computer aided design (CAD
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Science, Computer Science, Applied Mathematics and Statistics, Electrical and Computer Engineering, Biomedical Engineering, or a related field. Experience with a deep learning framework like PyTorch. Strong
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Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email
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be considered for employment. If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. ORNL is an equal opportunity employer. All qualified applicants, including individuals
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to apply due to a disability, please email: ORNLRecruiting@ornl.gov . This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired
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and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. ORNL is an equal opportunity employer. All
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collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL’s
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thermal analysis (DSC/TGA). Hands-on experience in materials characterization using tools such as particle size analysis, optical microscope, scanning electron microscopy, X-ray diffraction. Strong
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Ph.D. in computational data sciences and engineering, applied mathematics, geography, statistics, computer
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application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov. This position will remain open for a minimum of 5 days after which it will close when a qualified