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drones and process data of multispectral, thermal and LiDAR sensors Implement approaches to integrate drone data into an existing agroecosystem data assimilation framework Use radiative transfer models
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GNC sensors and actuators; Autonomous Navigation systems including data fusion, vision-based navigation and hybrid navigation concepts, guidance & optimisation techniques, including artificial
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sensing, and new applications of extreme sensors. One major theme of our research is the study of quantum effects in atomic systems and the light that is used to measure them. At the most fundamental level
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of quantum (bio)sensors, the control of reactivity (quantum dynamics in attochemistry, time-resolved electron spectroscopy, real-time dynamics of (bio)chemical reactions, selective catalysis, etc
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. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain experts to integrate LLM-based
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redox balance. Our studies explore how p53 integrates metabolic cues by acting as both a sensor and regulator of cellular metabolism. In parallel, we are identifying metabolic changes that promote tumor
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the following research areas providing a template for relevant directions: - Field Robotics with a focus on Arctic Environments - Autonomous Navigation and Motion Planning in Sensor-Degraded Disaster Environments
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sensor and display devices is required. Professional knowledge of National Fire Protection Association standards, other related codes and standards, and have the ability to effectively interpret codes
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. For further information on the School go to https://www.unsw.edu.au/science/our-schools/chemistry The Senior Research Associate is a central role within the ARC funded Industry Laureate project, leading
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interest in optical spectroscopic sensors to support industrial research and innovation projects in agrifood applications. Photonics technologies, particularly optical spectroscopic sensors, enable non