49 algorithm-development-"Prof"-"Prof" Postdoctoral positions at Oak Ridge National Laboratory
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transformative solutions to compelling problems in energy and security. Within ORNL, the Building Envelope Materials Research (BEMR) Group develops and deploys affordable and sustainable building envelopes
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Structural Biologist to join a multi-disciplinary research team in development and application of paramagnetic labeling and proton polarization techniques for structure analysis! This project involves multi
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a variety of projects involving internal and external dosimetry and radiation risk analysis. The CRPK provides technical assistance to U.S. federal agencies involved in development of federal guidance
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Environmental Systems Science Directorate (BESS) at Oak Ridge National Laboratory (ORNL) to develop genetic tools for non-model microorganisms to enable genome engineering in energy- and climate-relevant
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materials such as the magnetoelectric, high entropy oxides, through neutron scattering experiments. Additionally, collaborative work will be performed with the aim of developing and applying machine learning
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Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). As a Postdoctoral Research Associate, will focus on R&D in analytical chemistry to develop and advance analytical capabilities and
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transformative solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Particle Fuel Forms (PFF) Group in the Nuclear Fuel Development (NFD
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. Compose technical reports, create presentations, and publish peer-reviewed papers Support the development of new resources, training, and tools to support companies participating in the DOE’s Better Plants
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novel quantum sensing solutions to problems of national interest and support the research and development necessary for the practical implementation of those solutions Interpret, report, and present
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) at Oak Ridge National Laboratory (ORNL). This project will be focusing on the development of advanced Artificial Intelligence (AI)/Machine Learning (ML) tools for the measurements of 3D tensorial strain in