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the results. We are particularly interested in candidates who have practical exposure to metagenomic methods and are keen to deepen that expertise in a translational research environment. Key Responsibilities
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research questions into well-defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and
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environmental variables. Collect, analyse and interpret experimental data using quantitative methods to inform scientific, engineering and product development decisions. Identify sources of variability in
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to join the Jamali Lab at the GBI. At the Jamali Lab, we are interested in developing new computational methods for the design of conformationally dynamic and functional enzymes. We will accomplish this by
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, current genome synthesis methods are slow, narrow in scope, and limited in scale. To date, the genomes of only two bacteria have been successfully synthesized. This project aims to develop methodologies
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biotechnology, developing new and enhanced methods for genetic manipulation, plant regeneration, and DNA/RNA delivery to plants that enable a step change in our technological ability to engineer plants. They will
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drive research from foundational method development through to integrated platforms for real-world application, supporting advances in crop improvement, resilience, and productivity. The postholder will
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spectrometry software packages. Desirable Knowledge, Skills and Experience: Specialist knowledge of GC-MS column selection and method optimisation appropriate to different analyte classes and sample types
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GBI, EIT, and external partners as appropriate. Mentor and support junior researchers, including PhD students and research assistants. Translate research findings into commercial or translational
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, including PhD students and research assistants. Translate research findings into commercial or translational opportunities in alignment with EIT’s mission. Identify and pursue opportunities for intellectual