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sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials
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the Laboratory’s Code of Conduct; developing policies and procedures regarding conflicts of interest, lobbying and political activities, acceptance and solicitation of gifts, scientific integrity and research
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photosynthesis to join the new pilot study of Generative Pretrained Transformer for genomic photosynthesis (GPTgp). The GPTgp project aims to develop a foundational holistic model of photosynthesis that will scale
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on qualifications, relevant experience, skills, reputation in the field, and education. The eMMA group develops and delivers advanced electron microscopy and spectroscopy capabilities that provide the foundation
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the Isotope Science and Enrichment Directorate at Oak Ridge National Laboratory (ORNL). ESED supports the nation by conducting research, development, and demonstration of enrichment technologies. ORNL is a
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Requisition Id 15149 Overview: The Control System Section at the Spallation Neutron Source (SNS) is seeking a highly skilled, innovative Senior Control System Software Engineer to focus on control
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Sciences Directorate at Oak Ridge National Laboratory (ORNL). The National Security Sciences Directorate conducts research and development to solve some of the nation's most difficult security challenges and
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security challenges facing the nation. We are seeking a Machine Learning (ML) Research Engineer who will support the development of self-supervised learning methods for large vision-language models
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on developing energy efficient and cost-effective materials and processes for clean energy applications. The successful candidate will focus on problems related to the separation and recovery of critical
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) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to perform R&D in the areas of electromagnetic transient (EMT) simulation and software development as well as dynamic