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industry links. Demonstrated experience in LED and photodetector based optical sensor technologies Demonstrated experience in surface mount device components will be beneficial. Demonstrated experience in
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challenges. Working within a collaborative, inclusive and high-performing research environment, you will help advance process modelling, soft sensor development, process control and comminution technologies
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. Working within a collaborative, supportive, and industry-connected research environment, you will contribute to applied research that advances soft sensor development, process modelling, comminution, and
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through field-based surveys, and from ground-based sensors, proximal sensors and UAVs and satellites. These data are often used to drive process models, that ultimately are used to optimise aspects
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learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
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of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision
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activity. The probes to be developed will utilise a quantum sensor based on optically detectable defects in diamond that are sensitive to magnetic fields. To be appointable into this role you will hold a PhD
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expertise in infrasound signal processing to advance our multi-sensor atmospheric observation programme. About the Role: This position is an opportunity to join an active and forward-looking research team
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the design, fabrication, and characterisation of nanostructured sensing materials, flexible and stretchable electrode networks, and sensor arrays capable of detecting pressure, strain, bending, tactile
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expertise in infrasound signal processing to advance our multi-sensor atmospheric observation programme. About the Role: This position is an opportunity to join an active and forward-looking research team