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research, including: pre-clinical mouse models of cancer multi-parameter flow cytometry and immune phenotyping histology, immunofluorescence and spatial tissue profiling cell culture and molecular analysis
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interests, the project may take a more theoretical direction (e.g., focusing on continuous-time modeling, semiparametric theory and efficiency) or a more applied and computational direction (e.g., focusing
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field data and ecological modeling. Pollutant Remediation and Pollution-Prevention Science Faculty Mentor: Dr. John Ferry (Environmental Chemistry) Focus on molecular approaches to pollutant remediation
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disease modelling skills to join our team. About the project The ultimate goal of this project is to develop and apply advanced human iPSC-based models to study complex genetic architecture
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with putative therapeutic targets in the central nervous system, you will be responsible for designing, conducting, and interpreting validation experiments in cell-based models using a range of molecular
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computer data analysis. Preferred Education and Experience: * Experience in animal models of thrombosis * Experience using mass spectrometry to identify sulfhydryl modifications of proteins * A background in
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of restoring or enhancing NK cell–mediated antitumor activity. Using a spontaneous BRCA1/p53-driven murine model of mammary tumorigenesis, combined with extensive preliminary datasets (including >120,000 cells
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. Candidates must hold a recent Ph.D. in Immunology, Molecular Biology, or related field. Experience with epigenetic techniques (ChIP-seq, ATAC-seq), strong background in molecular biology, proficiency in flow
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The Institute for Digital Molecular Analytics and Science (IDMxS), officially launched on 1 December 2022, is a Research Centre of Excellence (RCE) supported by a total investment of around S$160
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using