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, machine learning, and deep learning models. Key Responsibilities: Develop and apply time-series forecasting methods for semiconductor equipment health monitoring. Analyze equipment degradation data
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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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operational management of a high-profile deep tech commercialization programme. This role focuses on programme delivery excellence, stakeholder coordination, and founder experience management, working closely
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learning, and deep learning or large language models. Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
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2 years+ of research experience. Proficiency in deep learning frameworks such as Pytorch Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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expertise (RGB, Depth Cameras) and deployment of machine learning models on embedded/edge systems for real-time industrial applications. Proficiency in Python and C/C++, with hands-on experience using deep
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: Strong understanding of recruitment practices, future skills, industry trends and graduate employability. Deep expertise in curriculum design, assessment design, and learning outcomes measurement
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We are looking for a part-time lecturer to teach this undergraduate course at the Wee Kim Wee School of Communication and Information. The course will examine how politics, ideology, international
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. Develop, train and evaluate deep learning models for automated classification of haematopoietic cells. Implement and evaluate explainable AI methods to interpret model predictions. Prepare manuscript drafts