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tools to tackle the voltage security problem in transmission networks with a large presence of renewable generation by optimally employing non-costly control actions like (i) displacement of available
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-chemical properties similar to conventional kerosene, their combustion behavior can differ significantly, requiring adjustments and optimization of current gas turbines (GT). In this context, numerical
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. The work is part of the regional project “Optimizing Renewable Energy Integration: FPGA-Based Model Predictive Control (MPC) for Grid Stability” (Ref. SI4/PJI/2024-00238) Where to apply Website https
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, optimization of hydrothermal processes and aqueous phase reforming operating conditions, analysis and characterization of liquid, gas and solid fractions from hydrothermal processes and aqueous phase reforming
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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radiation in the 20–40 eV range, corresponding to the expected operating values for the abovEF instrument under development. Analysis of the detector's response serves to optimize the spectrometer's optical
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Associate will be actively involved in projects on optimization, data analytics, and control in power distribution systems, working closely with partners from utility companies and national laboratories, and
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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Optimal Transport for Optimization and Machine Learning Appl Deadline: 2026/02/04 11:59PM (posted 2025/12/19, listed until 2026/02/04) Position Description: Apply Position Description Doctoral student in
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and apply multi-objective analyses based on Pareto optimality to 2D and 3D root system architectures. Extend the Ariadne pipeline to integrate new tradeoffs (robustness, redundancy, transport capacity