54 applied-physics Postdoctoral positions at Oak Ridge National Laboratory in postdoctoral
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Requisition Id 17070 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high-temperature
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Biogeochemistry. This researcher will use field observations and laboratory mesocosms to investigate how plant traits and soil properties confer resilience or vulnerability to disturbance in coastal wetlands
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resides in the Advanced Nuclear Materials (ANM) Group in the Materials in Extremes Section, Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National
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simulations in fusion devices. Support coordinated multi-physics simulations of fission reactor core, fusion device blankets, and other system components. Develop reduced-order calibration approaches and apply
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in the Sustainable Manufacturing Technologies Group in the Manufacturing Science Division (MSD) of the Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Our research
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materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this understanding
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Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Our research team carries out high-quality R&D focused on the development of new, high performance, lower-cost, domestically
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at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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, condensed-matter physics, neutron scattering, applied mathematics, and scientific computing. This position resides within the Quantum Sensing and Computing Group in the Computational Sciences and Engineering