34 parallel-processing-"embl" Postdoctoral positions at Oak Ridge National Laboratory
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systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and
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; and one-sided asynchronous programming models. Experience in heterogeneous computing, developing and debugging massively parallel algorithms and code performance profiling are a plus. Special
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microstructure characterization, in situ diffraction techniques, and mechanical testing to uncover processing–microstructure–property relationships. The candidate will have opportunities to interact with
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testing to uncover processing–microstructure–property relationships. The candidate will have opportunities to interact with multidisciplinary teams and contribute to high-impact publications and
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, additive manufacturing, solid-state processing, mechanical testing (creep, fatigue, tensile properties), microstructural analysis, thermal/electrical properties will be desirable. The position will involve
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creep, plasticity, and corrosion/oxidation. Interface with other staff working in related areas including vibroacoustic signal analysis, signal processing, optical fiber sensing, and general
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effort to maintain ceramics and composites programs for strategic energy applications. You will perform the fundamental science to improve materials selection and processing of ceramics and carbon-based
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ligands and functionalized sorbents for the selective extraction and recovery of gallium (Ga), germanium (Ge), and other critical minerals from complex zinc-processing feedstocks. The successful candidate
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related discipline completed within the last five years and have a strong background in polymer synthesis for advanced fibers, characterization, and processing. Expertise in polymer chemistry or
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integrate imaging and other sensing modalities for data collection and monitoring in manufacturing environment Develop modular, extensible workflows for data processing Develop and deploy data analytics