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Field
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the design and operation of next-generation thermal systems, developing strategies to model, optimize, predict, and autonomously control thermal systems behavior in complex systems. The candidate will
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dynamically restricting, routing, and stabilizing trajectories through neural state space. We are interested in whether relatively low-dimensional inhibitory or feedback control signals can reorganize high
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-boundary MHD surrogates) for real-time predictions and control-oriented execution (<1 ms execution time). Advanced Control Synthesis: Synthesize and computationally test model-based (Model Predictive Control
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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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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 5 hours ago
exploring how genomic selection approaches can identify plant cultivars with improved performance in space exploration environments. This research focuses on controlled-environment agriculture (CEA
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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application to field studies and other phenomic data for biological discovery and breeding predictions. Responsibilities: -Under general supervision, is responsible for conducting research into phenomics
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
. Description: This project will develop a multimodal artificial intelligence framework to characterize and predict dynamic changes in forest structure, aboveground biomass, and carbon storage under hydroclimatic
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four main objectives: - Design and fabricate foam-bonded granular materials, by controlling formulation parameters, shaping processes, and binder solidification. - Characterize the microstructure