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design, sensor integration, data conversion, hardware-software co-design, and the partitioning of mission workloads under power, thermal and system technology co-optimisation (STCO) constraints. The remit
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on complementary expertise ranging from physical sciences to chemistry, engineering and informatics. It will cover quantum computation, quantum networks and communication, quantum simulation, quantum sensors and
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systems (e.g., Arduino, ESP32, or similar platforms) Experience developing or adapting custom instrumentation and sensor systems for field research applications. Experience integrating physiological
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in the Molecular and Microscale Bioengineering Laboratory of Samuel Sia. The Samuel Sia lab develops technologies for point-of-care blood tests, wearable sensors, implantable devices, and cell-based
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NIST only participates in the February and August reviews. The development of nanomaterials, biomaterials, sensor films, and surface measurement methods require well-defined substrates that vary in
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– specifically focusing on “360 cameras” as the main sensor modality. The works will develop multi-session visual SLAM pipelines and feed-forward reconstruction (e.g. VGGT, MapAnything) to project rich 3D
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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to transform acoustic sensing devices into versatile sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state
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as quantum sensors. This approach will pave the way for a new form of quantum near-field microscopy, in which atomic probes replace the macroscopic tips employed in conventional scanning probe
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Associate to contribute to cutting-edge research in embodied AI and