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of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and biochemical analyses. A successful candidate will work closely with the principal investigator as
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methylation, single cell RNA and ATAC sequencing, Fiber-sequencing, and data science approaches to support research aimed at understanding long-term molecular changes induced by infections, in particular
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sets using cell ranger pipeline and additional analysis tools is desired. Must have writing experience; manuscript, grant and/or abstracts for scientific meetings Must be able to manage multiple and
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: Develop multiscale ABMs of multi-cellular immune cell populations and virus interactions. Design, implement, analyze, and validate agent-based, ODE, PDE, stochastic, hybrid, or surrogate models, selecting
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Biophysics, Physics, Physical Chemistry, biochemistry, Cell Biology or related disciplines that has experience and is interested in different aspects of molecular and cellular mechanobiology. The candidate
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the field of glioma. The current project is interrogating the role of ATRX in immunotherapy response using murine and cell line models that includes genetically engineered lung cancer model. Cell line model
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take approaches combining mouse developmental genetics, cell-type-specific viral tracing, ex vivo electrophysiology, opto/chemogenetics, in vivo imaging, single-nucleus RNA sequencing (snRNA-seq), and
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of Experimental Medical Science within the Faculty of Medicine is currently conducting research on the mechanisms underpinning the epigenetic control of the repetitive genome in stem cell models of early human
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development Identify, evaluate, and implement cutting-edge methodologies (e.g., single-cell sequencing, spatial transcriptomics, CRISPR screens, PDX/organoid models) relevant to pediatric cancer biology
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proof-of-concept study using protein A resin (as a model resin), 2 IgG product streams produced by a platform CHO cell lines and advanced analytical methodology (including LC-MS, ELISA and CE-SDS