562 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköping-University" positions at Nanyang Technological University
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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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the following skills: End-to-End Project Delivery: Have a strong portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis through to deployment and
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The Division of Banking & Finance at Nanyang Business School seeks a Research Fellow to support data-driven and AI-enabled research in investments and financial markets. The Research Fellow will be
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5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs. Duties and Responsibilities: Design, develop, and execute empirical research
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operational support to University level committees formed for the appointment, reappointment, promotion & tenure of Faculty members. Compile and provide timely, organised and accurate dossier information
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-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
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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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Responsibilities: Design and implement experimental studies on solid waste treatment processes, including rigorous data analysis and comprehensive technical evaluation. Integrate experimental findings with
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programmes into practice. Applicants with interest in doing post-graduate studies, honing their skills in conducting advanced data analysis and publishing research papers are invited to apply. This position is
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at scale. The group comprises four teams: Infrastructure Operations (InfraOps), Data Operations (DataOps), Machine Learning Operations (MLOps), and Experiences (EX). As a Platforms Engineer, MLOps in