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Postdoc Research Associate - Machine Learning/NLP for PEM Fuel Cell & Electrolyzer Materials Develop
discoveries and their translation into energy, environment, and security solutions for the nation. Major Duties/Responsibilities: Develop and apply machine learning models to optimize the synthesis
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training to staff and radiological control technicians to support the Lab’s science mission. Major Duties/Responsibilities: Create, schedule, and close out classes in the learning management system Develop
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in a radiological facility; including hot cell and glovebox operations. Work directly with nuclear materials in hot cells, gloveboxes, and hoods to support isotope production. Develop and coordinate
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Requisition Id 13159 Visa sponsorship of any kind is unavailable for this position (H1B, F1, OPT, H4, J1, etc.). Overview: We are hiring a Senior SharePoint Developer to design, develop, and
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Requisition Id 13188 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches with emphasis
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interns; Network and develop collaborative R&D with other groups and divisions internally and with DOE, industry, and utilities; Prepare and present research results to sponsors, peer reviewers, and others
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independently in conducting research under general guidance and are expected to prepare manuscripts for scientific publication and present the work to sponsors and at conferences. The position will allow
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the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be
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the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be
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Laboratory (ORNL) and UT created to prepare interdisciplinary leaders in energy, science, and technology and develop a world-class workforce for industry, government, and academia that will drive innovation