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Field
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or more electrochemical methods Strong written and oral communication skills, including experience in producing comprehensive, high-standard reports and data visualization, and contributing to manuscript
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indicators can be translated to the national level in the form of country policy briefs, national communications assets, and data visualizations; and leading the development of specific tools and products
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languages Hands-on experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL) Experience working on high-performance computing (HPC) systems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions and deliver them. * Skilled at data visualization and presentation
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and software tools for visualizing and analyzing materials characterization data Develop novel, data-driven materials characterization workflows Advance understanding of process-structure-property
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Florida is inviting a motivated Postdoctoral Associate to join the DISCOVER (Digital-Twin Infrastructure Science for Operations and Visualization in Engineering Resilience) Laboratory and become part of
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programming in R, Python, or similar, and proficiency in using GitHub and other data management tools; ● Experience summarizing and visualizing data in accessible and compelling formats for non-technical
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. Develop own independent research projects. Visualize research findings for publications, reports, and presentations. Create new conceptual frameworks or methodologies, as applicable. Serve as primary author
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analysis); data visualization; exploration of multimodal sense-making; and co-writing articles. About the position The position is available for a period of 3 years. There is a 10% component of the position
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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions