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to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento . Workplan and the objectives to achieve: This work aims to develop a numerical approach based on
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critical insights into the sex differences in ageing of blood vessels in bone and its functional consequences. We have developed numerous methods, including advanced 3D imaging, cell-specific inducible mouse
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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
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measurement techniques). Desirable additional qualifications include knowledge in additive manufacturing (3D printing) and experience with numerical simulation methods (e.g., finite element methods, FE
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full
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and numerical methods, collaborate with top universities, secure government funding, and actively participate in CMIP6 and the upcoming CMIP7 using the in-house Taiwan Earth System Model (TaiESM
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programs. Expertise in a range of engineering-related tools and applications, to include MatLab/Python, EnergyPlus, Labview, Excel, including libraries for conducting numerical analysis of time series data
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programs. Expertise in a range of engineering-related tools and applications, to include MatLab/Python, EnergyPlus, Labview, Excel, including libraries for conducting numerical analysis of time series data
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linear algebra, numerical methods for PDEs and dynamical systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations
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, Process Engineering, Computational Science, or a related discipline Strong foundation in fluid mechanics, gas–liquid two-phase flows, numerical methods (FVM, FEM), and two-phase flow instrumentation