509 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nanyang Technological University
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal publications Assist in supervising research
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partnerships with industry partners. Monitor the progress of stakeholder engagement initiatives, collect data and conduct analyses to evaluate the impact and effectiveness of initiatives. Present the collated
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, and full-stack development, supporting the deployment of intelligent, data-driven solutions that are reliable, efficient, and user-focused. Key Responsibilities: Design, develop, and maintain scalable
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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an emphasis on technology, data science and the humanities. The incumbent will coordinate the research efforts of the PIONEER IAF-PP programme, will ensure on-time reporting and monitor the progress. He/She
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boundaries of AM material innovation and supports NTU’s commitment to sustainable and impactful technological development. Key Responsibilities: Conduct data acquisition campaigns, collecting synchronized
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administrative support, and undertake project management responsibilities to ensure the timely and high-quality delivery of project outputs. Key responsibilities: Conduct literature reviews, data collection and
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processes for postgraduate students: a) Verify and analyse applicant information for accuracy, relevance, and completeness to ensure informed decision-making. b) Database management–maintain data
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footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. We are looking for a Research Engineer to support innovative research in federated learning and computer