Sort by
Refine Your Search
-
use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
-
work on large-scale analysis of complex traits, including Bayesian machine learning and linear mixed model approaches for trait prediction and association in high-dimensional genomic datasets, as
-
for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
-
the possibility of making “universal” vaccines by targeting these epitopes. We have validated this methodology for the influenza virus (https://www.nature.com/articles/s41467-018-06228-8) and the technology has
-
interpret high-resolution datasets that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil
-
that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. This is a unique opportunity to work at the cutting edge of translational
-
approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
-
in preventing immune-mediated pathology in autoimmunity remains poorly understood. Using genetic and antibody-based targeting, we aim to dissect how these pathways modulate T-cell signalling
-
understand drug targets and antimicrobial resistance (AMR) in Mycobacteria. MOLECULAR/COMPUTATIONAL MICROBIOLOGIST/BIOCHEMIST (Postdoctoral Research Associate) The successful candidate will develop and apply
-
. By focusing on unique cell-specific receptors, outcomes will inform the development of targeted drug delivery strategies utilizing RNA therapeutics. This research will contribute to a deeper