816 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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the National University of Singapore (NUS) Are you passionate about shaping the future of data literacy? Do you have a strong background in AI and Machine Learning, with a commitment to empowering others with
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related discipline. You must be a current machine learning, theory and atomistic simulations for material design. You must be an excellent communicator in English, both verbally and written. You must be
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attitude and a keen interest in learning and growing within the role. Equipped with effective organisational and interpersonal communications with excellent written, oral communication and computer skills
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at NTU. Key Responsibilities: The successful applicant will be responsible for Obtaining rigorous mathematical results geometric optimization and applications to data science and machine learning Designing
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delegated by PI Job Requirements Master qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills
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operations, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Conduct independent and collaborative research applying AI and machine learning techniques
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deployment enabling validation and demonstration of real-world applications. We are looking for a software engineer to develop and maintain scalable software applications with a focus on AI, machine learning
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: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety testing Presenting
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in numerical analysis, partial differential equations (PDEs), and scientific computing. Solid background in machine learning theories, with specific experience in Physics-Informed Machine Learning
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frameworks for advanced property prediction and analysis of inorganic disordered materials. Carry out machine-learning based first-principle calculations aimed at advancing the understanding defect-based