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Media, Online behavior, and Language (SMOL) project at the Department of Communications and New Media, National University of Singapore is dedicated to the interdisciplinary study of humans and algorithms
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-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support. WITEC brings together interdisciplinary researchers from MIT and
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management skills Interest in working in an interdisciplinary team, including sociologists, economists, algorithm engineers, and educational specialists Nice-to-Have: Experience in industry or applied research
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algorithms, architectures, and learning strategies that fundamentally challenge existing resource constraints in large-scale AI systems. Prototype, implement, and rigorously evaluate complex machine learning
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of the research group. Key Responsibilities: Conduct research in CV/ML/robotics for infrastructure monitoring and automation. Develop algorithms and/or systems for sensing, perception, and robotic applications
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HDLs. Sound knowledge of cryptographic algorithms and secure hardware design principles. Experience with ASIC design methodologies and open-source IC design tools, particularly OpenLane. Evidence of
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.) Implement reinforcement learning algorithms that process human feedback into the AI Models to improve them with time Any other administrative duties as assigned by Principal Investigators Application
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Responsibilities: Conducting regular field work to collect seismic data in Indonesia and Singapore. Seismic data processing and analysis. Implement multiscale subsurface imaging and inversion algorithms
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leverage their expertise to develop innovative algorithms for data analysis. Additionally, they will be responsible for communicating their findings to the scientific community through academic meetings and
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). Experience collaborating with educators or educational institutions on applied research projects. Ability to bridge technical and pedagogical perspectives, translating between educational needs and algorithmic