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modelling and spatial mapping approaches to join our team of academics working on decision support systems to improve schistosomiasis preparedness and control during development of water management
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for aircraft systems. You will integrate heterogeneous data streams (from multiple sources, such as sensory, physics model, etc.), flag impending failures, pinpoint and trace back the origin of system faults
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the airframe can have a notable impact on both systems and affect the in-flight fuel burn. The research within this post will develop computational models of the coupled system which will be used to evaluate
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to assess potato dormancy break, including: data collection, processing, AI model development and classification accuracy assessment. Involved in supporting an electrophysiology-based machine learning model