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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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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39133 Job Number SE179024 Position Information Department or Unit Name Fowler School
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interactions. Development and use of numerical simulation tools to study plasma–dark matter interactions. Analysis of astrophysical data to search for observational signatures of this physics. The group also
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 27 days ago
(plant hydraulics, phenology), - pedology. As well as an enthusiasm and interest in training in: - numerical simulation (Python programming skills are desirable), - signal processing (gravimetric and
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micro and nano-technologies (characterization, simulation, modeling), as well as in the design and characterization of circuits, microsystems and systems. Located at the convergence of many sciences and
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computing, control theory, computer vision, or numerical simulations. Experience with Python-based scientific programming Excellent problem-solving skills, Ability to work collaboratively in a
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the interaction between wind farms and the atmospheric boundary layer using a combination of wind-tunnel experiments, field measurements, and advanced numerical simulations. The ultimate goal is to gain fundamental
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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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. The research will employ numerical simulation to optimise heat flow within thermal batteries and to design compact heat-exchanger structures that enhance thermal conductivity and temperature uniformity
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systems. These models will be part of a multicellular modelling and simulation framework being developed as part of the Australian Research Council's (ARC) Discovery Project "Bridging biological boundaries