297 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Fellowship research jobs in Singapore
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Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 30/03/2026 ▲ Collapse Job Title: Research Fellow (Power Electronics) University-Level Unit: College of Design and Engineering
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an active role in data management, processing, and quantitative analysis (e.g., longitudinal and multilevel modelling, time-series or high-frequency data analysis, machine learning or predictive
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Singapore, Indonesia, and the broader Southeast Asian region. Experience with machine learning or data-driven approaches for subsurface imaging or hazard assessment (preferred). We regret to inform that only
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-machine teaming. Moreover, the consequences of such digital transformation are explored in the context of workforce and labor developments, organisational innovation, and learning/education. About the
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sustainability. It addresses disparities in access to spatial learning that affect students’ ability to interpret complex systems such as climate, energy, and ecological processes. Using a comparative approach
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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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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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Computer Science, AI/ML, Computational Biology, Food Science with computational expertise, or a related field. Experience with natural language processing, machine learning frameworks (e.g., PyTorch
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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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research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines. More