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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
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composition, structural organization, and post-translational modifications, and play a central role in regulating biological function. In parallel, mechanical alterations are increasingly recognized as
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collected for various experiments and interpret to understand biology of plant-pathogen interactions Collaborate with other lab members on various projects to conduct computational analyses in parallel
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of remote sensing, improving forecasts of weather, climate and snowpack, and will contribute to Texas Forecast Informed Reservoir Operation Pilot. Required Qualifications PhD in Hydrology, Meteorology
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academic identities. More about the position The postdoctoral fellow will be one of four recruitment positions in BioM filled simultaneously (parallel hires: 2 PhD fellows, in population ecology and
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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and journals, focusing on venues associated with the above-mentioned areas. Work closely with and provide technical and intellectual mentorship to PhD students and research engineers within the SMART
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academic institutes and key industrial partners. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you The successful candidate must have a