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Senior R&D Staff - Physics-informed Machine Learning Scientist for Autonomous Self-driving Laborator
enabling autonomous experimental workflows. Develop and apply data analysis and machine learning workflows for CNMS users. Mentor students, postdocs, and early career staff Lead proposals related to machine
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a diverse community of users, staff, postdocs, and students. As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct
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an inclusive work environment for a diverse community of users, staff, postdocs, and students. As a member of the ORNL scientific community, you will be expected to commit to ORNL’s Research Code of Conduct. Our
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, health and quality program requirements Ensure an inclusive work environment for a diverse community of users, staff, postdocs, and students. As a member of the ORNL scientific community, you will be
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Requisition Id 12638 Overview: We are seeking a Postdoctoral Research Associate in inorganic or materials chemistry/science who will focus on separation, processing, and characterization
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the Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). As a postdoc, you will work within a research team at the CNMS that is focused
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communicating research. Ensure an inclusive work environment for a diverse community of users, staff, postdocs, and students Coach and mentor staff regarding Battelle’s “Safe Conduct of Research” principles. Lead
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environment for a diverse community of users, staff, postdocs, and students Coach and mentor staff regarding Battelle’s “Safe Conduct of Research” principles Lead ESH&Q by example and ensure all work is carried
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, Chemistry, Chemical Engineering, or a related field completed within the last 5 years Preferred Qualifications: Expertise in polymer synthesis, characterization, and manufacturing methods. Understanding
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Laboratory (ORNL). As a postdoc, you will work within a research team that is focused on understanding and controlling the growth mechanisms of nanomaterials, bridging length scales from the nanoscale