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good numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project The goal of this PhD is to model (Calanus spp.) life history traits
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programming and quantitative analysis (e.g., statistics, scientific programming, numerical simulation) • Excellent written and spoken English (working language is English). • Ability to work independently
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an appropriate set of dimensionless numbers (including Péclet number, Damköhler number, capillary number and viscosity ratio). The project focuses on formulating this coupled model and implementing it numerically
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or nanophotonic device design Hands-on experience with cleanroom fabrication techniques (e.g., electron-beam lithography, thin-film deposition, nanostructuring) Knowledge of numerical electromagnetic simulations
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of advanced simulations, experimental characterisation, and degradation tests, all pivoted on a novel methodology to produce aged-equivalent concrete samples. Specific objectives are to: (O1) Define mix designs
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and velocity distributions within the liquid metal. The experimental works are supported by numerical simulations of project partners inside the doctoral network. Within the project duration of 36
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-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
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Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere
ejections reach the Earth, they can cause the so called geomagnetic storms. In this project we will develop novel numerical techniques to detect vortices in the Sun, and we expect to be able to anticipate
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laboratory is the experimental analysis and numerical simulation of innovative trauma surgery procedures involving bones, joints, ligaments, tendons, and muscles. Performing biomechanical test series
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, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty and