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Field
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 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 6 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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optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
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on the ONR Project “Optimal Transport-based Strategies in Waves and Dynamics” led by Prof. Christina Frederick at NJIT. Essential functions will include research into optimal transport theory to capture
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of the additives in phosphate ore processing. Study the interaction mechanisms between additives and mineral surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization
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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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Job Description Do you want to contribute to a new research field where oxide/metal hybrid devices are geometrically optimized to yield extraordinary performance, including the highest
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Association. WIAS invites applications as Research Assistant Position (f/m/d) (Ref. 25/14) (PostDoc) in the Research Group Nonlinear Optimization and Inverse Problems (Head: Prof. Dr. D. Hömberg) starting as
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor