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Primary supervisor Xiaoning Du Research area Software Engineering Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in
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Primary supervisor Xiaoning Du Research area Software Engineering Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in
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Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning
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Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning
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translation into routine primary care and community-based preventive programs. Required knowledge Strong skills in mobile app development and full-stack software engineering ML and AI skills Learn more about minimum entry requirements .
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specialised as-needed via fine-tuning or prompt engineering. In this project we will explore all aspects of this process with a focus on increasing trust in the model outputs by reducing or eliminating
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specialised as-needed via fine-tuning or prompt engineering. In this project we will explore all aspects of this process with a focus on increasing trust in the model outputs by reducing or eliminating
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. The candidate must be able to implement custom training loops, handle complex data pipelines, and modify model architectures. Software Engineering: Strong Python programming skills, including
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. The candidate must be able to implement custom training loops, handle complex data pipelines, and modify model architectures. Software Engineering: Strong Python programming skills, including
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including hard- and software design for quadcopters and motion capture is desirable. The result will be a thesis in the field of interaction design, contributing to our understanding of experiencing the