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applications for the position of Research Assistant. Key Responsibilities: Study and analyze dataflow patterns in emerging data-intensive applications. Design and develop parallel file systems for node-local
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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University. Key Responsibilities: Conduct research on methods and approaches to support air traffic management studies and applications. Develop, test, and evaluate analytical models, algorithms, and tools
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communication skills. Proficiency in developing deep learning models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in
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focused on using advanced numerical methods to explore low energy dynamics in strongly interacting quantum spin systems. The candidate will develop and implement advanced algorithms to investigate
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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. Characterise and optimise the algorithm for signal data processing for real-time cell analysis and sorting Develop a user-interface platform for end-user testing of clinical samples. Support lab procurement and
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. The Research Fellow will be employed and based at NTU, and is expected to travel overseas to collaborate with scientific teams at CEA, France. The holder will: Apply advanced machine learning algorithms
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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Conduct research and development on vector
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progress. Ability and willingness to work some flexible hours. Extensive experience in large-scale pre-training of large language model. Experienced in developing machine learning algorithms and large