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learning and artificial intelligence (AI) approaches for crop management, yield prediction, and decision-support systems. Additional responsibilities include preparing manuscripts for publication in peer
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compliance (5%). •Conduct research on artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic, metabolomic, and phenotypic dataset (25%). •Investigate the genetic
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to advance research and outreach objectives. Proficiency in the use of artificial intelligence (AI) and emerging digital tools to support research output while maintaining accuracy, ethics, and research
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acoustic technologies, artificial intelligence, and ecological field research to address complex conservation challenges. The successful candidate will bridge wildlife science and audio engineering to design