65 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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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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). 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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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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, 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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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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learning”. As a Research Fellow, you will be supporting the Project Lead to deliver the project, ensuring that the overall project output meets the requirements. These range from fundamental technical
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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
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, Tan Tock Seng Hospital and the National Centre for Infectious Diseases. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities
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participate in seminars, workshops, and public engagement activities Job Requirements: Doctor of Philosophy in Communication, Psychology, Sociology, Human-Computer Interaction, or a related social science
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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