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Field
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numerical solvers for 2D and 3D phase field models Develop HPC-ready simulation pipelines for large-scale rupture and fracture-fluid systems Optimize performance for modern architectures including GPUs and
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collection, and applied mathematics. Our goal is to make optimal use of past climatic information to better understand Earth’s climate response to various kinds of forcing, focusing on abrupt climate
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Collaboration and Innovation Identify opportunities for process optimization and implement innovative solutions in medical communications practices. Provide mentorship to incoming fellows or interns and lead a
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recommendations are shared with our Partnership and Advisory Group who work with us to ensure that our understanding is optimal and our dissemination approaches effective, as well as informing any new initiatives
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integral equations Machine learning, especially the areas of optimization, learning theory, probabilistic modeling, deep learning, and high dimensional data analysis, as well as applications of scientific
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development and optimization. The tumor microenvironment and mechanisms of immune evasion. Development of innovative technologies to enhance anti-tumor immune responses. The role of epigenetic and RNA
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for an ultra-high vacuum synchrotron end-station using CAD software. - Run, optimize, and document data acquisition codes (LabVIEW and Python) - Aid NIST staff in developing plans
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learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical solvers, quantum
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(PECVD) system. Design appropriate experiments for PECVD growth of boron nitride nanomaterials. Optimization of PECVD parameters. Perform and analyze SEM, TEM and Raman and other material characterization
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leverage the theory of estimating functions to create optimal inference algorithms for the proposed loss functions based on its underlying Riemannian geometry, as well as for those previously introduced in