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Field
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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needs, the model may also be coupled with high-resolution CFD models to enable multi-scale coastal process modelling.
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methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
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excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and
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Contract Type: Fixed Term - until 30th October 2026 Part Time Hours: to be discussed On the 1 August 2026, the University of Greenwich and the University of Kent formed a pioneering new multi
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focus on distributed acoustic sensing on pre-existing telecom fiber networks, wavefield analysis, structural and geophysical interpretation, multi-modal data fusion, and lab-scale and field experiments
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. Demonstrated experience with training and calibrating other large-scale complex models. Demonstrated ability to pretrain large-scale models from scratch, including distributed multi-GPU training. Demonstrated
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of Mathematics and Statistics, Camperdown Campus Develop statistical and computational capability for multi‑omics data analysis and drug discovery Base Salary Level A/B $ $117,936 - $157,381 p.a + 17
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to help develop the next generation of AI-powered remote sensing technologies for monitoring landscape change and environmental sustainability at scale. About the Role We are seeking an ambitious
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identification through lab-scale and field experiments. Key Responsibilities: Develop algorithms for guided-wave analysis, response analysis, sensor fusion, and system identification using distributed and multi