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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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developing the skillset on underwater perception technologies within topics such as: Qualifications: A master's degree in computer vision, computer science, robotics, electrical engineering, or a related field
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defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and enable charge
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-learning based simulation models, can help research and business practice better understand international business activities OR (iii) the means by which machine learning techniques can be used
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teaching courses and co-supervision of BSc and MSc. Qualifications MSc graduates with a background in either engineering, mathematics, computer science, computer engineering, physics, sustainable energy