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engineered mouse models, single-cell multi-omics (scRNA-seq, CITE-seq, CyTOF), and patient-derived samples from institutional trials. This position is ideal for candidates passionate about tumor immunology
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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tumours, and in pursuing eventual independent careers in academic research. Research approaches in our group include genomics, cell biology, functional genomics, mouse modeling, developmental biology, stem
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cancer models. Designs and executes experiments using high-throughput sequencing and molecular biology techniques. Collaborates actively with lab members, bioinformaticians, and clinical teams
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groups pioneered human organoid models to study host-virus interactions, and ongoing work is expanding these systems to include microbial communities. The ultimate goal is to uncover mechanisms and
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to join an active molecular immunology research program. Our laboratory investigates the mechanisms of immune dysfunction following traumatic injury and sepsis, with a focus on neutrophil-mediated NETosis
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intended for life science graduates from Immunology or Microbiology backgrounds, however, a graduate with background in Computer Science or Computational Biology will also be considered. The successful