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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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interfaces using the Spallation Neutron Source' (SNS) Liquids Reflectometer (BL-4B). The main objectives are: To develop liquid-liquid sample neutron reflectometry (LLNR) cells (with and without movable
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design. 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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the Incident Modeling and Computational Sciences Group in the Nuclear Nonproliferation Division, Nuclear Security Sciences Directorate at ORNL. Major Duties/Responsibilities: Develop and implement
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education. The chosen candidate is expected to develop and execute research projects on applying advanced machine learning algorithms to applications of second life use of electrochemical energy storage
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quality program requirements Maintain strong dedication to the implementation and perpetuation of values and ethics Develop strong, productive working relationships across partnering research groups within
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grid. 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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research articles, work in multiple projects, work with other team members and supervise students. Major Duties/Responsibilities: Develop nano- to mm-scale natural fiber feedstocks for processing into high
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and delivering solutions to pressing energy storage problems essential to economic develop and security of the United States. Applicants are expected to perform experiments to understand the dry
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researcher will work in close collaboration with a diverse team of scientists to perform the following research tasks: 1) develop and apply advanced functional genomics tools to characterize genes and pathways