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Field
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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foot-print air pollution sensors that can offer accuracy, robustness, and scalability. About the role The successful candidate will have the opportunity to develop expertise in integrated photonic and
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undertake research to engineer capillaric microfluidic chips with advanced flow control elements (e.g., timing circuits, self-correcting logic valves). This will include integration of electrochemical sensor
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-fields: A. Building piezo-electric motors and piezo-electric scanners operating from 10 mK to 300 K. B. Designing and building multi-contact sample and probe holders. C. Assembling AFM qPlus sensors. D
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background in 3D perception, including segmentation, localization, mapping and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability
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. The Centre is focused on applied research in neuromorphic systems across three pillars: sensors, algorithms, and platforms, and will collaborate closely with its partner ICNS at Western Sydney
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on applied research in neuromorphic systems across three pillars: sensors, algorithms, and platforms, and will collaborate closely with its partner ICNS at Western Sydney University, which was also established
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electronics for sensor readout systems, including ASIC and SoC design and verification. Strong experience in hardware–firmware co-design for data acquisition and processing pipelines, including FPGA-based
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Are you a power electronics engineer, or an engineer with a practical background in radio frequency electronics, analogue electronics, pulsed power, or sensor development, looking to apply your
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Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors