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of the research group is to model genetic diseases using gene editing tools such as CRISPR/Cas9 to gain a better understanding of the mechanisms at play and to find alternative treatments. Based on previous work in
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, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially gnotobiotic models. Applicants who also have prior experience with examining
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-Doctoral Researcher. At a minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially gnotobiotic models. Applicants who also have
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will provide the justification, and inform the appropriate dosing regimen, for future human clinical trials. The primary focus of the research group is to model genetic diseases using gene editing tools
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assessment of antimicrobial activity and validation of biological test compounds in relevant models (in vitro and/or in vivo). Direct experience and a strong understanding of structural analysis techniques
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the CFD component of the DETECT project and support other aspects of the project (management, reporting and fieldwork). The overall project aims to assess coastal vulnerability and model it using a
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background in fermentation models that mimic the gut environment and analysis of associated metabolites. LanguagesENGLISH Research FieldBiological sciences » Other Additional Information Work Location(s
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team and participate in our vibrant research community here at CSIT. Project Title: Fault-tolerant Wireless Time Sensitive Networks This project builds on our ongoing work on modelling and simulating
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Generators, and hardware-accelerated primitives, the project establishes a dual-layer security model that fortifies data protection across diverse infrastructures. Leveraging hardware-accelerated primitives
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-generated cell and mouse models, protein structure-function analyses and modelling along with a range of cell function approaches. The School of Biochemistry and Cell Biology provides a supportive research