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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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stakeholders who benefit from these ecosystems. The successful candidate will have a PhD in a relevant subject such as interdisciplinary ocean science, or ecology and preferably a good understanding of the
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of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is also highly valuable. The successful candidate
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The Department of Plant Sciences is seeking to appoint a post-doctoral Research Associate to investigate how DNA features contribute to gene expression and how these can be used for the predictable
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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industry, as well as academic groups in chemical biology, chemical engineering, and data science. We have an excellent structure for the continued education of our group members and offer teaching and
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techniques. Analyse experimental data using statistical tools and computational methods. Collaboration & Mentorship: Collaborate with interdisciplinary teams of researchers and students. Mentor graduate and
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an appropriate field (e.g. Immunology, biomedical science, biochemistry, Molecular biology) and/or have relevant experience at an equivalent level, together with some hands-on experience in animal handling, flow
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efficient DNA repair, and particularly, how this impacts mutagenesis. The postholder will assist with a variety of molecular biology experiments to identify and characterise DNA damage response mechanisms