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genetics Programs This research develops early warning systems and resilience indicators in swine using high-frequency sensor data from commercial farms. Integrating environmental, behavioural, feeding, and
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apple orchards. The research will leverage the use of mechanistic crop models, remote sensing, sensors and computer vision. Remote sensing imagery will be acquired from both unmanned aerial vehicles (UAVs
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. Specifically, NIR sensors, hyperspectral imaging coupled with standard or macro lens, spatially resolved spectrometry, evolving plots, and FTIR will be used for the non-invasive characterisation of raw material
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to multidisciplinary environments and a focus on professional growth and development. Results-oriented, negotiation skills and communication abilities to build a network of relationships. Proficiency in English