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Algorithmic principles of navigating the brain using nanorobots

Over the past several years, high-throughput neuroscience methods have yielded comprehensive cellular maps of the entire brain. These data have revealed features, like distinctive m more...

Supervisor(s): Fulcher, Ben (Dr)

Semi-metric machine learning techniques to investigate trend of COVID 19 spread and impact on stock market

The spread of COVID 19 pandemic appears to occur in several phrases and each phrase has possibly different impacts on the economy as reflected in the stock market. This project aims more...

Supervisor(s): Chan, Jennifer (Associate Professor)

Define regulatory control pathways delivering NPF (nitrate) and AMT (ammonium) transport activities across root types and cell profiles

We have previously identified the tissue expression patterns of ZmNPF6;6 and ZmNPF6;4 in maize root tips (Wen, Z., et al., The Plant Cell, 2017) and used qPCR as well as custom arra more...

Supervisor(s): Kaiser, Brent (Professor)

Modeling brain dynamics with spatial gradients

A core aim of neuroscience is to understand how the brain, with its staggering complexity of 100 billion neurons, makes sense of the world around it. Large-scale global initiatives more...

Supervisor(s): Fulcher, Ben (Dr)

Using metabolomics and other omics to guide new cancer therapies

This project will investigate cellular status and signaling in novel cancer therapies, especially new irradiation schemes in radiotherapy using metabolomics, transcriptomics and pro more...

Supervisor(s): Kwan, Ann (Dr), McKenzie, David (Professor)

Success and the city: how bats adapt to the pressures of urban environments

The rapid expansion of cities worldwide is introducing unprecedented environmental conditions, forcing species to adjust or go locally extinct. Insectivorous bats are one group of m more...

Supervisor(s): Threlfall, Caragh (Dr), Hochuli, Dieter (Professor)