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of the following projects: The molecular regulation of insulin secretion. In particular, the characterization of new (unpublished) transgenic models to study SENP1 (e.g. PMID: 38184650) The development of novel
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lead the in vivo functional analysis of this gene using conditional KO mouse models, with a focus on brain development, neuronal differentiation, and seizure susceptibility. All models are already
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in molecular biology and bioinformatics, with a focus on infectious disease and cancer models. Candidates must have a PhD in Immunology, Molecular Biology, Microbiology, or Vaccine Research. The ideal
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vitro and in vivo experiments using advanced molecular and cellular techniques, ● Analyze and interpret data from preclinical models and human samples to identify potential therapeutic targets, ● Publish
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healing. The Granville research program spans basic molecular biology and biochemistry through to target validation, proof-of-concept in animal and human models, and collaborations with clinicians and
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in molecular biology and biochemistry techniques are especially encouraged to apply Experience and a strong track record with mouse models of dermatologic, autoimmune, aging-related and/or chronic
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the further development and application of IQCELL 2.0, our lab’s next-generation GRN-cell simulation platform, to model spatial gene expression, cell-cell communication, and T-cell developmental
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development and application of IQCELL 2.0, our lab’s next-generation GRN-cell simulation platform, to model spatial gene expression, cell-cell communication, and T-cell developmental repertoires within
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: Quantum Simulation with Rydberg Atom Arrays (Experiment) Research Area: Atomic, molecular, and optical physics (AMO), quantum control, quantum simulation Relevant Fields: Quantum information science
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within