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: Bayesian hierarchical deconvolution of spatial bins using matched snRNA-seq reference, cell-cell communication inference, and spatial niche identification Multi-omics integration: linking spatial and single
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into how molecular relations shape health and disease in tissues. Yet, analytical tools capable of integrating multi-dimensional spatial data remain limited. The project objectives are to (i) develop tools
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registries and biobanks. Your work assignments The position focuses on developing methods for early detection of lung cancer, through fusion of chest CT volumes and clinical variables. Within the Swedish
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severe side effects. A major challenge is monitoring treatment efficacy in detail and detecting relapse early. This project addresses that challenge by analyzing cell-free RNA in patient blood samples
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in preclinical dementia”, with a focus on improving early detection and differentiation between dementia subtypes. The doctoral student will work with longitudinal data from two unique Swedish
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, with a particular focus on identifying and characterizing rare endosomal escape events. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle