122 Education Postdoctoral research jobs at Oak Ridge National Laboratory in United states
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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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develop in situ diffraction capabilities for neutron diffractometers at SNS and HFIR, including POWGEN & NOMAD at SNS and HB2A POWDER & HB2C WAND² at HFIR. The Powder Diffraction Group resides in
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, the candidate will contribute to the constitutive modeling frameworks and develop image-based models for high-temperature ceramics. Knowledge and experience of relevant characterization techniques, including x
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, establish connections with relevant entities, engage with current sponsors to secure further research funding, and prepare proposals while presenting results to sponsors, peer reviewers, and other
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, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and
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Responsibilities: Develop workflows that integrate with existing or new LLMs and LVMs for resource optimization with energy grid data. Provide coding support to implement privacy preserving federated learning
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modeling. Selection will be based on qualifications, relevant experience, skills, and education. The successful candidate should be highly self-motivated and independent in conducting research under general
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Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using
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committed to enhancing and maintaining US capabilities in actinide science and technology by helping to attract, develop, and retain the workforce of actinide scientists to meet the needs of the nation. Topic
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: Work closely with other members of NTI and CNMS to study and improve molecular materials Develop continuum theoretical approaches and novel simulation protocols to predictively model structure and