Background. The rise of multidrug resistant forms of microbial pathogens imposes a serious problem to public health worldwide. The rapid spread of antimicrobial resistance is associated with misuse of conventional antibiotics.
This 3-year PhD will study molecular and cellular mechanisms of neuronal patterning and neural development using ex vivo/in vitro methods (mouse/human tissue/cells) and/or in vivo methods (invertebrates).
Since most molecular processes rely on protein–protein interactions PPIs), knowledge of those interactions is extremely valuable for biomedical research and drug design.
Analysis of human motion is implicitly or explicitly required in many areas such as healthcare, sports, video surveillance, body-based user interfaces and computer games and animation.
The projection that within 50 years there will be more deaths from antimicrobial resistance than through cancer highlights the continual need for mining new and novel antimicrobials with activity against planktonic microbes and biofilms alike1.
Type 2 diabetes (T2D) is a complex condition caused by a myriad of interacting genetic and lifestyle factors. The risk of developing T2D is also strongly influenced by increasing age.
The osmopressor response refers to the increase in blood pressure and associated change in heart rate that occurs in some people after ingestion of water (1).
The group has published on small molecules with specificity towards hypoxic cells associated with solid tumours, reductase enzymes over-expressed in cancer, as well as, aziridines that induce hypersensitivity from Fanconi anaemia cells and those carrying mutations in the BRCA (Breast Cancer Susceptibility) genes.
The development of deep learning CNN architectures has led to remarkable progress in the field of computer vision. As a consequence, successful systems are now available for real world applications in a variety of areas including visual surveillance, sports analysis, gaming and security.
