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experimental data (imaging, process data) to feed into numerical modeling of the actual operation of the pilot (optimization of nozzle selection and operating conditions inherent to these nozzles
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optimization under targeted objectives. These approaches will be tested in flows of increasing complexity, including cellular flows, stationary, and fully developed turbulence. Practical information This work
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outcomes, enabling the evaluation of how operational controllers behave under candidate topologies and thereby optimizing total cost (CAPEX + OPEX). The two topics are tightly coupled: DynConGrid supplies
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services inherent to the deployed technology, should be considered in a holistic approach. While optimization methods have been applied at various scales, they often overlook system dynamics, demand
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. The successful applicant will develop a predictive pipeline using atomistic modeling and machine learning to identify optimal "seeds" for directing crystal growth, followed by rigorous experimental testing
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
parametric numerical study to improve the geometric configuration (number and placement of heating probes) and optimize operational parameters. Explore decarbonization scenarios by combining technological
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are also encouraged to apply. Interest in developing optimization-based methods and experience with Matlab are also valued. Additional Information Work Location(s) Number of offers available1Company
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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 16 days ago
. The SIMULACTOR project aims to develop an integrated multiscale approach to model the mechanical behavior of PPAs. Its objective is to understand and optimize PPA properties using a simulation strategy that spans
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of their operating conditions make it challenging to predict component health under poorly represented or previously untested conditions. Modern prognostics approaches rely either on physics-based models or on data
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.) must contribute to the effort to reduce GHG emissions. Clouds, despite their ability to optimize processes in other sectors (transport, energy, agriculture), are no exception to this observation