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position, please email [email protected]. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT
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difficulty using the online application system or need an accommodation to apply due to a disability, please email: [email protected] . This position will remain open for a minimum of 5 days after which
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within a multi-disciplinary research environment consisting of computational scientists, computer scientists, electrical engineers, domain scientists, and applied mathematicians conducting basic and
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related to magnetic materials, experience with first-principles electronic structure methods and proven expertise in developing and/or applying advanced AI/ML methods for accelerated materials discovery
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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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mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal
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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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treat one another, work together, and measure success. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. Preferred
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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely
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for characterization and analysis of membranes and composites including X-ray/neutron powder diffraction, electron microscopy and lithium analysis using ICP, NMR, etc. Collaborate with ORNL postdocs and staff who