In the UK, the University of East Anglia is searching for a first level researcher to apply machine learning approaches to investigate cyanobacterial metabolism and identify optimal pathways and metabolic fluxes for compound production. The student will test these outcomes by generating appropriate mutants and measuring growth and compound production of these strains in small reactors. Commercially relevant mutants will then be tested in larger industrial reactors in collaboration with our industrial partner, Cyanetics Ltd, using carbon dioxide emissions from industrial plants. The ideal candidate for this project will have a background in chemical engineering, bioengineering, computer science, or molecular biology/microbiology with programming skills. The student will join a cyanobacterial biology laboratory with strong national and international links.
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