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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
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of science; (b) develop novel metrics and algorithms for AI explainability; and (c) create a tight feedback loop where (a) and (b) can iteratively refine each other. As a postdoc, you will be based in the Data
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thermal systems, controls, or AI/ML applications Experience developing and deploying reinforcement learning algorithms for real-time control applications Experience with hardware-in-the-loop (HIL) testing
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-on learning and research opportunities. The Postdoctoral Research Associate will contribute to the development of algorithms and software that enable teams of robots to perform coordinated maneuvers, self
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the development of retrosynthesis and/or tree search algorithms. 3. Experience in the curation and analysis of reaction datasets 4. Experience in development of models that predict the function of enzymes using
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 8 days ago
engaged in SMAP algorithm heritage and NISAR-era high-resolution soil moisture development at JPL, and participate in multi-mission integration research spanning SMAP, NISAR, and ROSE-L. This opportunity
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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Rossier RG at INL. Job Duties The job duties will be the following: Analog quantum algorithms for quantum search and optimisation based on quantum Hamiltonian evolution. Quantum algorithms for simulation
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/equilibrium reconstruction from limited, noisy diagnostic measurements. Scenario Optimization: Develop plasma scenario optimization workflows leveraging nonlinear programming, genetic algorithms, and