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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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to predictably control and exploit the drop for useful tasks. Aims: 1. Develop computational models to quantitatively predict the response of chemically active drops to the various physico-chemical stimuli
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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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an integrated field and numerical modeling approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model
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disturbances. Current control methods generally rely on simplified interaction models based on constant aerodynamic coefficients, quasi-static approximations, potential flow models, or experimentally identified
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About the Role We are seeking a Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1. Numerical modeling and simulation of heterostructures based on different 2D materials. 2.- Development
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modelización por elementos finitos con Ansys Workbench y Ls-Dyna. Ansys Workbench and Ls-Dyna finite element modeling knowledge. Conocimientos de modelado de sistemas mecánicos conMatlab, Simulink y AVL Cruise
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-vapour experiments, gaining hands-on experience in optical-setup design, III–V semiconductor physics, atomic physics, quantum optics and numerical modelling. The research targets scalable components
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, or equivalent industry experience demonstrated experience developing and maintaining geoscience modelling software expertise in one or more numerical geoscience areas including plate tectonic