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under a single or otherwise limited set of discrete tuning parameters. In parallel, the candidate will gain in-depth knowledge of time-modulated photonic media, nonlinear optics, adjoint-based
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system-level performance metrics (efficiency, bandwidth, angular response, and robustness). In parallel, the candidate will gain in-depth knowledge of analytical modeling techniques and adjoint-based
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column. This parallel study will allow to integrate short-term, ecological observations on the climate-driven Rhizarian response, as well as related oceanographic processes, including productivity and
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics-aware learning methods with domain decomposition techniques, enabling parallel training and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research. Position Summary The Phanstiel lab at UNC (http://phanstiel
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concerns, particularly due to its slow renewability and the ecological impacts associated with peatland degradation and greenhouse gas emissions. In parallel with broader efforts to identify more sustainable
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Qualifications Experience: Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience working with high performance computers (e.g., parallelizing and
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns