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theoretical basis for modelling functional biodiversity, based on eco-evolutionary optimality (EEO) theory. The PDRA will be explicitly responsible for statistical analysis of plant trait data and the
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300mm etching reactors located in CEA/Leti's clean rooms. It will involve : 1) Create the lithographic design adapted to requirements (GDS) 2) develop/optimize plasma etching processes for AlGaN and GaN
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for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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an integrated model of plant carbon allocation, based on eco-evolutionary optimality theory. The PDRA will be explicitly responsible for designing an approach to evaluate and model carbon allocation to non
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singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas of interest include Potential Theory, Harmonic Analysis
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
of swarms are the additional complexity in coordinating the multiple elements. Recent advancements in swarm and constellation optimization have made the concept more tractable, and ripe for exploration as a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
-body or highly nonlinear systems. The emphasis will be on how AI methods can both characterize and optimize trajectories within complex design spaces. Within this context, contingency planning
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to the limited time available in the PhD thesis. The present application involves extending this work to characterize devices currently being manufactured at the CEA, as well as designing optimized optical
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assessment of lymphatic flow, 2) Advancing methods for contrast-enhanced MRL, 3) Creating ideal contrast agents for MRL, and 4) generating phantom and animal models for MRL optimization and validation