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Field
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-discriminating scaling laws. The successful candidate will be expected to: Develop, setup and apply advanced, non-intrusive optical diagnostics tailored for micro-scale flames, specifically Digital Holographic
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computational modelling of additive manufacturing and develop high-performance GPU-based CFD solvers. Qualifications • With PhD degree • Strong research experience in developing GPU-based
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We are seeking to appoint a research assistant who will undertake research towards a PhD degree in Mechanical Engineering. The project objectives are to develop models for the design and analysis
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in CFD to perform extensive code development. Prior experiences in OpenFOAM and appreciation of commercially-available CFD software Qualifications Possess a Doctoral degree in the area of Mechanical
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Fluid Dynamics (CFD), NLP, and multimodal AI. Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques. Develop data engineering pipelines
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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: The main objective of the doctoral research will be to contribute to the development of an integrated monitoring and predictive maintenance system for floating wind structures, with the potential to be
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in experiment design, data acquisition, and data analysis required. Numerical Research: Strong expertise in Combustion Computational Fluid Dynamics (CFD) and extensive experience in code development
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims
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custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Deliver CFD