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Solution Centre SAS-C. Key Responsibilities: Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems. Focus on multi-modal sensor data
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frontiers in one of Asia’s leading biomedical research hubs. Duke-NUS Medical School combines the academic excellence of Duke University with Singapore’s vision for translational biomedical innovation
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-baccalaureate, research-intensive medical education to Asia. A truly global partnership, it combines the expertise and resources of two leading universities: the National University of Singapore and Duke
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is now ready to be working towards robotics for industry and healthcare applications. Key Responsibilities: Investigation and selection of suitable sensor/actuator components Develop sensor/actuator
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Responsibilities: Conduct research on differential privacy algorithms with applications in computational processes. Develop innovative ideas to enhance existing algorithms and frameworks. Collaborate on applying
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all project deliverables are met. Undertake these responsibilities in the project: Conduct technology review of sensor technology Develop algorithms/models for engine health monitoring Develop prototype
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(terrestrial and NTN). The goal of this research is to design and develop algorithms and techniques that adapt to the environment, minimizing signaling overhead associated with channel estimation and enhancing
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the University. Key Responsibilities: The research associate will be leading the development of sensor fusion, perception, localization, situation awareness for autonomous robotic navigation. The work will also
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve