182 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship research jobs at Nanyang Technological University
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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contract basis, renewable subject to performance and project needs. Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS) Project
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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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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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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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. Key Responsibilities Plan, design, and implement independent research projects within a collaborative, multidisciplinary program Acquire and apply expertise in vitro reconstitution, live-cell imaging
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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
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and