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a complex interplay between genetic, hormonal, and environmental factors. Key among these are the DELAY OF GERMINATION 1 (DOG1) gene and the abscisic acid (ABA) pathway. Our recent discoveries
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the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
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of biological databases, algorithms and pipelines; experience in working with phylogenetic/ genomic/transcriptomic/systems biology tools will be a bonus; being well organized, eager to learn and ready to
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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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microscopy, and metabolic tracing using GC-MS and 13C-labeled metabolites. T cell function will also be studied in vivo using a genetically modified GPD2-deficient mouse strain (GPD2 KO) fed a standard or high
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biology methods, RT-PCR, flow cytometry, confocal microscopy, and metabolic tracing using GC-MS and 13C-labeled metabolites. T cell function will also be studied in vivo using a genetically modified GPD2
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11 Sep 2025 Job Information Organisation/Company Institute of Plant Genetics PAS Research Field Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions