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project, SmartWheat: Harnessing AI Models for Climate-Resilient Wheat Varieties in Sustainable Agriculture, at NMBU. The successful candidate will develop AI-driven models for the analysis of UAV-based
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candidate will help design, implement, and evaluate a novel science-policy engagement process that combines climate modeling, role-play simulations, future storytelling, and participatory workshops
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of the following: computational analysis of human movement and/or vocalization, time series analysis, pattern finding, statistical modelling, audio feature extraction, music information retrieval, machine learning
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of the following: computational analysis of human movement and/or vocalization, time series analysis, pattern finding, statistical modelling, audio feature extraction, music information retrieval, machine learning