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record in medical research and innovation. The project will benefit from access to advanced computing facilities and specialized software for deep learning model development and CT scan analysis
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, conducting interviews and focus groups, developing and managing surveys, and analysing qualitative and quantitative data including skills with appropriate software would be valuable. An interest in mental
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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic
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also need to be comfortable with online video software, and to learn and deliver the 4Ds with close supervision, review its empirical foundations, and understand and apply its theoretical principles
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results accurately and draw meaningful conclusions to inform further research and process improvements. Background in modelling and simulation using simulation software. Background in Techno-economic
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to demonstrate results on formulating and testing different fair routing policies in route recommendation ADMs, their software, algorithms, and models, are often designed as “black boxes” with little effort placed
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the underlying architectures. However, the high latency introduced by blockchain makes timely machine learning decision-making challenging. Hence, in this research, the students will also conduct thorough research
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companies that spans research equipment and reagents, hospital software and clinical trials. LTG'S research mission is to accelerate medical research and they hope to achieve that goal through microfluids and
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the established theory, and apply the theory to a series of datasets consisting of configurations of individuals in space and time. The project will also develop and disseminate software to fit models and evaluate
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, electronic, robotic and software engineering skills to develop and evaluate machine vision-based algorithms for automated plant care in a controlled environment with artificial lighting. Relevant tasks will