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differential equation models of bacterial persistence. A particular challenge, both for simulation and for machine learning, lies in the high dimensionality of these equations, which causes grid-based numerical
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
operational data (temperatures, humidity, flow rates, etc.) from real Séché Environnement sites. Develop a baseline numerical model and validate it using real industrial data from Séché Environnement. Perform a
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model for the reactivity/selectivity in superacid conditions. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7285-FREGUE-005/Default.aspx Requirements Research FieldChemistryEducation
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subsequent analytic/numerical simulations of these models. Write scientific papers. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research FieldEngineering
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
. in space physics, plasma physics, planetary magnetism, astrophysics or a related field with a background in numerical modeling and programming and excellent oral and written communication skills
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acquisition, instrumentation and monitoring during laboratory testing Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and calibration against test data. Analyse
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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centrifuge experiments. Integrate findings with numerical models for validation and deeper interpretation. Develop innovative experimental apparatus (SolidWorks proficiency is a plus). Disseminate results
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The Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa ) at King Abdullah University of Science and Technology (KAUST) invites applications
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mechanics, FEA modeling, and integrity assessment of pipelines under environmental loads Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Numerical simulation of pipeline stress