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Field
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sample, and in vivo leukemia models Perform and oversee molecular, cellular, genomic, and functional assays Analyze, interpret, and integrate multi-omics datasets to generate biologically meaningful
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Academic Job Category Faculty Bargaining Job Title Canada Impact+ Emerging Leader in AI-based Protein Modeling and Design Department Department of Biochemistry and Molecular Biology | Faculty
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secondments (lab exchanges). The doctoral candidate will utilize cutting-edge techniques: Cell and tissue culture (human primary and stem cell-derived retinal models) Molecular biology and biochemistry
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cells. Compounds identified through a pharmacological screening approach represent promising therapeutic leads, including in models of bortezomib-resistant cell lines. The project combines a fundamental
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immunotherapies for cancer patients with brain metastasis. Our group works at the interface between immunology and cancer biology combining the use of preclinical models of cancer and human samples with state
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision
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transduction, molecular cloning, and protein engineering – Hands-on experience with IACUC-compliant rodent study design and execution, including genetically engineered and syngeneic tumor models, multi-route
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production provides a competitive advantage to commensal bacteria, thereby limiting the establishment of pathogenic strains. This work adopts a multidisciplinary approach, combining methods from molecular
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activity in vitro; basic knowledge of bioinformatics, molecular modelling and docking and/or structural analysis of protein–ligand complexes, as well as the ability to use in silico results to guide
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of Duties Explore molecular mechanisms linking to cancer, obesity, liver, women diseases using a combination of biochemical and molecular techniques in cultured cells, xenografts, and engineered mouse models