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Field
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performing experiments and numerical modeling of plasmas to quantify, for instance, the radiative properties of the plasma, how many fast-moving ions are produced, as well as the efficiency of converting input
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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. Project Overview The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower
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-intelligence-controlled atom-by-atom synthesis of functional nanomaterials Theoretical and numerical modelling of the electronic structure of functional low-dimensional nanomaterials (with Prof Nikhil Medhekar
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element simulations, blast loading models, propagation of pressure waves in the ground and soil–structure interaction analyses to establish methods for assessing the protective capacity of existing
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. Special emphasis is given to numerical simulation to reduce the required experimental effort, but the validation of the models on laboratory setup will remain an essential asset. Your role The PhD-student
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Title: Beyond the Ball: A Modular Physics Sandbox for Investigating Aerodynamic and Projectile Modelling, Vehicle Dynamics and Adaptive Networking. PhD Studentship: R-LINCS2 funded. The Studentship is
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Holocene lowlands, and translation them into subsurface maps, sections, and schematizations; Proficiency in numerical groundwater modelling, including the use of coding (e.g. Python) and incorporation
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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, inverse design methods, and physics-based modelling. The role is embedded within the ARC E2Crop Hub and the Centre for Atomaterials and Nanomanufacturing (RMIT University), which focus on renewable energy