161 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship research jobs at Nanyang Technological University in Singapore
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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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equivalent. Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable. Strong publication records in top-tier machine
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and intelligent networked systems, including theoretical and system-level research Demonstrated capability in advanced communication technologies, antenna systems, and machine learning–enabled methods
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quantum information theorists to integrate secure key rate calculations with simulations. Investigate and apply AI and machine learning techniques to improve and support secure-by-design development
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Corporate Laboratory is seeking to hire a Research Fellow. The selected candidate will innovate research in advanced materials. Key Responsibilities: Work on AI-driven techniques such as machine learning and
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and
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expression systems Control of transcription, gene regulatory networks Synthetic biology, especially cell line engineering Immunotherapy, especially CAR-T/NK/M or dendritic cell therapies Diabetes, especially
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). Plan and draft cross-project analyses, synthesis sections, and learning summaries to disseminate CRCD research findings through publications and events (e.g., journal sections, pre-conference sessions
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prototype and we are interested to hire an applicant who is: Good team player with strong interpersonal skills Keen in learning new skills and knowledge in multidisciplinary fields of engineering and medicine