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-reviewed publications in leading machine learning and interdisciplinary venues, open-source software tools, and collaborative research initiatives. The successful candidate will also contribute
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will contribute towards the Continuing Professional Development of relevant practitioners, as well as provide key learning resources for interested parties. The successful applicant will be expected
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' narratives by tracing the histories of how weeds arrive in particular places; a decolonial ecology that challenges Western narratives and explores alternative ways of thinking and living with weeds by learning
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