全奖博士丨英国埃塞克斯大学招收机器学习方向全奖博士

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About the Project Scientific background: The air we breathe is teaming with microorganisms and other biogenic particulates (collectively referred to as bioaerosols). Many of these have negative effects on human and plant health. For example, Aspergillus emitted from composting can cause asthma, and respiratory infections; crop pathogens such as Phytophthora and Alternaria threaten global food security. Climate change is driving range expansion and seasonality of these taxa, but we lack real-time monitoring data to assess the risk. A major development towards this are optical measurement systems that characterise individual bioaerosols, but their use for fungi remains underdeveloped. We have optimised methods for collecting/characterising bioaerosols from different environments for molecular analysis1,2. This project aims to apply novel methods to develop classification algorithms for real-time bioaerosols monitoring to assess exposure and health impacts.  Research methodology: The pro ………………………………