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short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning
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architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines
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for in-space manufacturing and testing. Develop AI algorithms for navigation, guidance, and control. Lead collaborative research proposals for NSF, DoD, DOE, NASA. Mentor students and build
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stiffness composites Implement bespoke optimization algorithms combining shell geometry and fibre distribution accounting for nonlinearity and uncertainty Conduct optimization studies and oversee
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&D Signal and Information Processing Software Developer will support software development and integration of real-time mid-frequency active sonar processing capabilities, including algorithm design
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multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges
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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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administrators. Approves salary distributions, cost transfers, and additional compensation transactions. Serves as primary contact for institutes and centers regarding all financial aid issues; in coordination
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
to compare base approaches (no active learning) with different state-of-the-art active learning algorithms including our solutions; Participate to the redaction of a publication exposing the methodologies and
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multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges