Using computational simulation to form and evaluate hypotheses concerning the factors that drive immune cell motility, such as neutrophil swarming, during inflammation.
School of Life and Environmental Sciences
Masters/PHD
Soluble chemical signals are fundamental drivers of cell motility in the body. Their effects on cells are complex, and cells must consolidate potentially conflicting signals from a variety of sources to make decisions about their movements. Certain immune cells, such as neutrophils, exhibit strikingly coordinated swarming behaviour (see link to video below), yet the dynamics of signalling and cell interactions responsible for these phenomena are not well understood. Computational simulations provide a useful means of testing theories concerning the emergence of cellular swarming. Projects around this topic can make either biological or computational contributions to science (or both). For example: · Using simulation to test biological theories of the factors driving cell motility patterns. · Exploring alternative computational, mathematical or statistical methodologies and tools to support simulation of the immune system. (Video: http://markread.info/videos/Lammerman-NeutrophilSwarm.mov)
Projects are available at Honours, Masters or PhD levels. These projects involve integrating data from multi-photon microscopy experiments, in conjunction with Dr. Tatyana Chtanova of the Garvan Institute.
In addition to the academic requirements set out in the Science Postgraduate Handbook, you may be required to satisfy a number of inherent requirements to complete this degree. Example of inherent requirement may include:
The opportunity ID for this research opportunity is 1949