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of mobile ringtones. Traditional machine learning methods and transformer models will be used to learn patterns from audio signals and classify ringtones into predefined categories (e.g., default ringtones
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the biological experiments are conducted. The intended departure point for this PhD project is to use reinforcement learning, a mainstream AI technique, to model task allocation mechanisms. #sustainability
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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innovative approaches to enhance privacy in ML models, algorithms, and workflows, with a particular emphasis on preserving confidentiality while maintaining the utility and accuracy of the learned models
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financial services, maintaining accurate data, and building effective working relationships with academic and professional staff. This position will be responsible for preparing and analysing complex
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown
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of honours students with rigour, warmth and empathy. At the time of his sudden passing, Dr Booth was supervising an honours student and two PhD students. Dr Booth was a mentor and friend to countless
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as Research Fellow. This position plays a key role in the delivery of the Longitudinal Head Injury Outcome study through coordination and administration of cognitive assessments, interviews and
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in supporting our Property and Leasing function and engaging with audit and compliance matters. This position will be responsible for delivering the University’s core financial accounting functions
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for opioid use disorder within clinical trials by the Computational Neuroscience Laboratory and the Addiction and Impulsivity Research Group . This position implements the psychotherapy component of