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numerical framework to capture droplets evaporation behaviour. The project requires the Research Fellow to work with both commercial and opensource numerical software to accurately predict and capture complex
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. It is a condition of employment that the PhD degree has been awarded. Documented experience with numerical modelling or simulation is a requirement. Demonstrated good programming and data analysis
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); • practical knowledge of the design of photovoltaic installations and solar farms, including productivity analysis and component selection; • proficiency in specialist software used for the analysis and
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skills in Python. – Basic knowledge of numerical modelling (calibration techniques, sensitivity and uncertainty analysis). – Advanced knowledge of hydrological modelling using SWAT+ or similar tools
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local
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; GIS; environmental data analysis; machine learning; numerical modelling; tracer experiments; dispersion and mixing. DESCRIPTION (topic, expectations, comments): We are seeking a researcher holding a PhD
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: Perform high-fidelity thermal and mechanical numerical simulations for metal additive manufacturing. Develop and implement PIML models for analysis and optimization of metal additive manufacturing
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis
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at IST Austria and TU Delft. The initial appointment is for one year with possible extension depending on performance. Responsibilities - Development and analysis of theoretical models and protocols
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emphasis on one of the following specializations: machine learning, including machine-assisted theorem proving, numerical analysis, statistics and probability. Documented experience in industry, insurance