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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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the distribution of diverse gene classes to the ecology of fungi [1] and predicted the presence of traits that were considered absent from fungi [2]. Currently, only homologs of defined and relatively conserved
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annotating experimental findings from the literature— with advanced machine learning approaches to extend functional annotation of LCRs. • Apply clustering algorithms to group LCRs by similar annotation
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 3 months ago
with catalytically active metals. The chemical composition, size, and distribution of the active phase particles on the support will be meticulously engineered to optimize the catalysts’ activity