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Cadete Ferrão (ist12361) Organic Unit: Centre for Studies in Innovation, Technology and Development Policies Scholarship Theme: Modelling waste processing systems and sludge from water treatment plants
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Modeling, Analysis & Prediction of Particle-laden Real-Gas Supersonic Turbulence. (Ref. 10267290001)
Description Mission: Carry out the modeling, analysis and prediction of real gas supersonic turbulence. Fuctions to be developed: Develop tools to aid analysis. Perform experimental and computational analyses
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atmospheric cold-plasmas. The thesis project is placed in the context of an ANR contract obtained whose objective is the analysis of microwave hydrocarbon plasmas used notably for the conversion of methane into
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autonomous agricultural robots in a cooperative farm. Key objectives include: -Proposing new coupling methods for models supported by assessment of Greenhouse Gas (GHG) emission. -Enabling real-time decision
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, sustainable agriculture and food systems, wildfire and greenhouse gas assessments, MRV and carbon dioxide removal (CDR), and near–real-time greenhouse gas monitoring and forecasting. The scientist will
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of gas emissions. This will involve leveraging advanced gas transport models, including advection-diffusion equations, computational fluid dynamics (CFD), and Navier-Stokes equations, to provide deeper
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parameters, optimising these and various process conditions to enhance the overall performance of the gas turbine employing specific indicators. Used with a complementary CFD modelling approach, the research
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of the SU(N) Fermi-Hubbard model and its low-temperature phases at the microscopic level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1003
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Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036. ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven
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energy systems. Skills and Competencies: Good understanding of shipping, port operations, energy systems, and greenhouse gas (GHG) management. Strong data analysis and modeling skills. Proficiency in