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the preponderance of surface and finite size effects. This project aims to dynamically track temperature-induced phase transitions at the nanoscale through atomistic simulations. Focusing on metallic alloys and
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, photophysics, and numerical modeling. Molecular building blocks will be synthesized and used to construct COFs with predetermined architectures. The resulting materials will be characterized using PXRD, SEM
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, posterior sampling, and assessment of convergence and model fit. Proficiency in Python and the scientific computing stack, with experience developing software for scientific, statistical, or numerical
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of the electron gun and waveguide required to produce the high-intensity electron beams required for delivering photons in FLASH mode. • Develop and apply advanced numerical simulation and/or optimisation tools
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and waveguide required to produce the high-intensity electron beams required for delivering photons in FLASH mode. • Develop and apply advanced numerical simulation and/or optimisation tools
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/research/ Typical responsibilities: • Development and analysis of PDE-based mathematical models • Derivation, analysis, and implementation of numerical methods and simulation algorithms • Rigorous
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— The Applications must be accompanied by the following documents: a) Application minute for the competition addressed to the Rector of the University of Aveiro; b) Copy of detailed curriculum vitae structured
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 19 days ago
microstructure remains uncharacterized. Understanding the sensitivity of model predictions to these unobserved subsurface features is critical for establishing the fidelity and reliability of simulation-informed
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transport measurements. The work will include planning and conducting experiments, critically analyzing experimental results and performing numerical calculations or simulations where appropriate
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proficiency in spoken and written English. Experience with numerical simulation tools (CFD and/or thermal modelling) will be considered an asset but is not mandatory. Previous experience in the following areas