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mechanical loading of such samples. The focus of the PhD project will be to use machine learning techniques to better understand the interplay between the crystal orientations and deformation patterns in a
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. • Drive initiatives that improve data quality, data governance, and predictive analytics capabilities • Lead the development and execution of AI and machine learning projects. • Build strong
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small-scale and/or large-scale structural testing, including operation of servo-hydraulic dynamic test frames, knowledge of control software, and knowledge of the basic concepts of hydraulic systems. Have
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small-scale and/or large-scale structural testing, including operation of servo-hydraulic dynamic test frames, knowledge of control software, and knowledge of the basic concepts of hydraulic systems. Have
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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variable models (e.g., CLIP, GLIP, MaskCLIP). Knowledge of Transferability in Machine Learning is desirable. Knowledge in Active Learning is desirable. Programming skills and experience with dataset
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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to optimise research outcomes. Advanced Data Cleaning and Analysis: Clean,engineer, prototype, and deploy statistical and machine learning models using Python and/or R to solve complex problems; maintain and
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level of experience working with a range of computer systems and applications, including microwave/microelectronics and low-level software languages such as C/C++ and/or FPGA hardware design languages
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supervision. We operate with a commitment to high standards of care and student learning, providing the latest technology, including advanced imaging equipment like CT, endoscopy, arthroscopy, and invasive