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. Integrate sensors (e.g., force, position, safety) to inform robot behavior and user feedback. Conduct iterative testing and refinement of the interface based on usability studies. Collaborate with clinical
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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Developing and integrating AI algorithms into the real development progress Preparing academic publications such as patent applications and research papers Contributing to quarterly and annual report writing
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to the development of smart AIoT prototype for monitoring. Key Responsibilities: Build and test AIoT prototype Develop and deploy self-navigation algorithms. Publish several papers in top journals. Write proposals
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research engineer position opening at the Institute for Health Innovation & Technology, National University of Singapore (NUS) working on a wearable sensor development project. This project aims to develop a
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algorithms and AI methods for hardware security evaluation. The roles of this position include: Study literatures on PCB security evaluation, PCB multi-modal image analysis, and datasheet parsing. Data
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related to robotics, robot operating system (ROS), system engineering, computational mathematics, C/C++ programming, data structure and algorithm, artificial intelligence (AI) and machine learning
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. Candidates having relevant research or working experience in LLM/VLM and AI decision-making algorithms for autonomous vehicles will be preferred. Good communications skills and the ability to work
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digital solutions and sustainability services Design, implement, and optimize a data pipeline that processes EL images. Develop and integrate algorithms for image correction, stitching, and exposure
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validation of algorithms using these databases, and related data analysis. The ideal candidate will have a strong understanding of SQL and expertise in programming languages such as Python and/or R. Main