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algorithms for digital health and AI-driven research projects. Lead technical innovation by exploring and implementing emerging AI methodologies. Support data platform development and retrospective data
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data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research, supervise
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instruments such as ADCP, ADV, water quality sensors, and underwater cameras • Analyse and integrate field observations into predictive physical models • Collaborate with interdisciplinary teams including
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applications including asset pricing, volatility modelling, risk management etc. Developing the framework of economic world models, with generative AI algorithms such as diffusion models and theory-informed
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• Weather satellite imagery • Radar observations • Lightning detection networks • Surface sensor observations (e.g., rainfall and wind) The successful candidates will
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frameworks, and technical risk assessments. Design and integrate sensors, actuators, embedded controllers, power systems, and electromechanical subsystems/components. Develop robotic platforms, manipulators
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Job Description We are looking for a Research Fellow under the National University of Singapore (NUS) to support a project investigating the fundamental theoretical and algorithmic performance
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems for real-time monitoring of cleaning validation washout fluids
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validation, sensor comparison, and site-level urban heat assessment. Microclimate Data Processing and Quality Assurance: · Process and organise datasets collected from stationary, mobile weather stations