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learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include: Development of ML/DL methods for multi-omics data analysis. Design and implementation
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contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural
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dynamics of complex molecular systems, and relationships between the presence of biomolecules and synthetic chemical compounds with various disease states. There is also strong research in method and
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career development plan. The program integrates international, interdisciplinary, and intersectoral elements to provide a well-rounded educational experience. Networking Opportunities: Build lasting
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics
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models. A multidisciplinary approach is expected, integrating microfabrication, cell component and biomaterial incorporation, advanced imaging and staining of specific biological features. You will be
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of human proteins in cell lines using immunofluorescence (ICC-IF) and confocal microscopy. The research group is also applying the latest methods for highly multiplexed immunostaining of cells and tissues
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The incumbent