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interest in human Natural Killer (NK) cell biology and the development of next-generation NK-cell–based immunotherapies. Our research integrates advanced single-cell transcriptomics, multiparameter flow
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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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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talented, motivated, and creative researcher with experience in intestinal cell biology, interested in applying this knowledge to bioengineering techniques such as organs-on-a-chip and biomaterials. You will
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individuals, biochemical markers, cognitive testing, animal models, and cell biology experiments. Our long-term goal is to contribute to the development of new treatments for neurodegenerative diseases, where
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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agent of sexually transmitted infections. Within its host cell, the pathogen replicates within a membrane-bound compartment (the inclusion), whose stability depends on secreted bacterial effectors
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data, 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
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infections. Within its host cell, the pathogen replicates within a membrane-bound compartment (the inclusion), whose stability depends on secreted bacterial effectors interacting with host proteins
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structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims to recruit and train the next generation of