57 educational-technology Postdoctoral research jobs at Oak Ridge National Laboratory
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, together with band-excitation and internally developed modalities, to probe environmental- and temperature-dependent behavior and to develop new scanning probe techniques aimed at discovering underlying
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to develop and apply interdisciplinary teamwork skills, as they will be expected to work with researchers in water resources engineering, computation, informatics, ecology, and environmental economics
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more than 60 years of achievement in local, regional, national, and international environmental research. Our vision is to expand scientific knowledge and develop innovative strategies and technologies
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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emphasis on controlling coherent spin-spin interactions. In addition, the ideal candidate will develop new quantum sensing protocols leveraging coherent spin dynamics in high-field and low
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challenges facing the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral
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the area of life cycle energy and cost assessments for conducting manufacturing technology assessments Preferred Qualifications: An educational background in sustainable manufacturing technologies with
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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physical characterization techniques (differential scanning calorimetry, dynamic light scattering, small angle neutron and/or x-ray scattering) to characterize the DIBs; and (3) Develop/implement image
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in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable