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assays or TCID50, neutralization assays) Immunological methods (ELISA, Western blotting, flow cytometry, immunofluorescence microscopy) Basic bioinformatics and data analysis (e.g., R, Python, GraphPad
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wide spectrum of genetic, molecular, and cell biology, biochemical as well as micobial and bioinformatics techniques to study translational aspects of colon cancer (e.g., Cre/loxP and Flp/FRT-based dual
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candidate with a background in bioinformatics and organismal focus. The successful candidate should demonstrate a strong commitment to effective teaching utilizing engaging, data-driven pedagogies. Teaching
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readouts Apply a wide spectrum of genetic, molecular, and cell biology, biochemical as well as micobial and bioinformatics techniques to study translational aspects of colon cancer (e.g., Cre/loxP and Flp
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readouts Apply a wide spectrum of genetic, molecular, and cell biology, biochemical as well as micobial and bioinformatics techniques to study translational aspects of colon cancer (e.g., Cre/loxP and Flp
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undertaking a part time PhD. The post holder will be required to carry out duties primarily across the Biomedical Science degree programmes plus support other staff across the Faculty and work in multiple
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turquoise killifish, applying methods from molecular biology, bioinformatics, biochemistry, histology, microscopy, genetic engineering, and behavioral testing. The project focuses on bioinformatics
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Classification Title: Data Scientist III Classification Minimum Requirements: A Bachelor’s Degree in data science, statistics, bioinformatics, analytics, or similar field and five years
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. Experience with mammalian cell culture, molecular cloning, flow cytometric analysis, multiple-omics analysis, bioinformatics, and animal experiments is preferred. Be highly motivated individuals who can work
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on high-impact research in cardiometabolic disease, multimorbidity and ageing using large-scale genomic and longitudinal health data. They will play a key role in analyses across multiple cohorts and