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must either have a PhD in a relevant biological subject or have submitted or about to submit their PhD thesis. Candidates must also have demonstrable expertise in biochemistry, cell biology and/or
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in grasses. Expertise in molecular biology, genetics and plant developmental biology are required. The successful applicants will be excellent team player's and excited about collaborations at SLCU
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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genomes. Dr Karam Teixeira's group uses Drosophila as a model to study transposable element biology, epigenetic regulation and inheritance, small RNA-based defence mechanisms, and germline biology in
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bioprocessing technologies to deliver efficient pathways for upcycling captured carbon into high value products. The successful candidate will have a PhD, or be studying towards a PhD, in synthetic biology or a
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other common conditions in pet dogs, then use comparative genomics to determine those genes also relevant to humans. Genes and variants responsible are studied in the molecular biology lab and by testing
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PDRA studying centromere organisation and function A 3-year post is available in the Henderson group to study the genetic and epigenetic structure of plant centromeres, and how this relates to their function in cell division and chromosome segregation. A variety of genetic, genomic, and...
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PhD (research associate) or (under)graduate degree (research assistant) in neuroscience, biology, engineering, or other relevant disciplines. We are looking for someone with previous experience in
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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biology, or bioinformatics. This interdisciplinary project would suit someone interested in cancer biology, somatic evolution, toxicology, or the development of predictive models of disease. The ideal