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Field
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with data-based models and numerical dynamo simulations. The successful candidate will contribute to studies of time-averaged geomagnetic field morphologies and core dynamics during transitional events
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | about 6 hours ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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for planning and executing experiments in climate chambers and in buildings. You will be responsible for carrying out dynamic building simulation models. You will be responsible for disseminating research
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software Structural and thermomechanical simulations, particularly thermal stresses, mechanical loads, and deformation under high-temperature conditions Development of an engineering design for
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to study hypotheses Validate models via targeted simulation, sensitivity analysis and exploration Apply methods to problems in geosciences, in particular bio-/geochemical cycles Your qualifications: A
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conditions Couple the power electronics model with electrochemical battery models Support efforts towards hardware-in-the-loop (HIL) integration of the developed models Collaborate with project partners and
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development of models that capture the kinetics of point defects and their interaction with electronic charge carriers under various conditions, including electric fields and irradiation environments. Key
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Postdoc in modelling Greenland and Himalaya precipitation using machine learning Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 26
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right (offshore transport vs. onshore transport), in an experimental setting where the boundary conditions are fully known. The shortage of state-of-the-art models also means that the spreading