生物学/大气科学：PhD at LaMP, France
学术
2024-09-12 19:02
比利时
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The Laboratoire de Meteorologie Physique (LaMP) is seeking a highly motivated and curious PhD candidate to join our interdisciplinary research team on the study of the physical, chemical, and biological processes in the atmosphere within the LaMP and the LMGE laboratory (LaMP and LMGE, UCA). The focus of this project is on developing advanced methods for the automatic detection of fungal spores using cutting-edge particle imaging, fluorescence techniques, and machine learning algorithms. The aim is to develop and refine detection algorithms that can be used to accurately identify specific fungal spore types so that they can be used in agricultural environments to improve crop monitoring and disease prevention.This project combines our expertise in microbiology and atmospheric physics to increase the capacity of airborne detection tools for pathogenic microorganisms of interest. The project focuses on fungal spores, which will be quantified and characterized in near-real time using a new generation of fluorescence laser detection instruments. This instrument uses artificial intelligence to classify biological aerosols. The aim of this project is to optimize machine learning algorithms to efficiently detect these fungal species and, ultimately, provide datasets for developing operational predictive numerical models of crop invasion by fungal pathogens.You can find more information on how to apply at https://lamp.uca.fr/actualites/offre-de-these-detection-automatisee-de-spores-fongiques-dans-lair-pour-les-applications-agricoles/
Or by contacting Evelyn Freney at evelyn.freney@uca.fr
Thank you for your attention,
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