302 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" 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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: Electrical and Computer Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 13/02/2026 ▲ Collapse Job Title: Research Fellow (Topolectrical Circuits and Non-Hermitian Physics
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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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-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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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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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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nowcasting platform that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes
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collaborative learning, you identify critical friction zones and promising ways forward, effectively accelerating the uptake of scientific innovations in real-world applications. Key Responsibilities: Collaborate