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necessary to make closely related decisions while ensuring that complex constraints are met and optimizing the often-conflicting criteria of different stakeholders. The objective of this research is to design
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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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, 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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definition, validation, and performance optimization. This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. This position
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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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of the convergence properties and efficiency (assessed through complexity bounds) of optimization methods for the solution of bilevel problems, with applications to quantitative finance and business decision-making
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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: Department of Biomedical Engineering Posting Link: https://www.ubjobs.buffalo.edu/postings/60764 Job Type: Full-Time Posting Detail Information Position Summary We are seeking a highly motivated researcher to