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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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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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to join the Jamali Lab at 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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innovations beyond proof of concept and towards validated, scalable and impactful products. Requirements Essential Skills, Qualifications & Experience: PhD in Plant Molecular Biology, Developmental Biology, or
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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