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should have a background in engineering or applied science with experience in CAD, numerical modelling (e.g., FEA, CFD, DEM), and a demonstrated ability to translate research into practical solutions. A
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). Proficiency in numerical modelling, data analysis and instrument control in languages such as Matlab, Python, C/C++, etc. Familiarity with sensor technologies and applications, machine learning, and electronics
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are recruiting three PhD students for the following Projects: Project 1: Unifying on-farm data and crop models to enhance tactical crop decisions Summary: Despite the increasing availability of on-farm data and
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equivalent, with expertise in nuclear and/or maritime engineering Demonstrated research ability that supports the School's research strengths hydroacoustics, modelling and computation, numerical and