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High-performance scoring of CRISPR targets

The CRISPR-Cas9 technology allows the modification of virtually any gene in any organism of interest. It's generated a lot of interest, both in the research community and the general population.One of the crucial components of CRISPR experiments is the design of the "guide RNAs" that will control where modifications occur. It's vital that the modification is made at the desired location and not elsewhere.We developed a method utilising high-performance computing to efficiently assess the "off-target risk" of each guide RNA …

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Computer Science
Research centre(s)
Centre for Data Science

Computational methods for multi-scale structural optimisation

Structural optimisation is a powerful computational methodology for finding high-performing designs for structural components or material architectures. For example, what periodic scaffold would provide the highest possible stiffness for its weight?Solving such a problem computationally requires an understanding of the relevant equations required to model the physical properties of interest, as well as efficient implementation of a range of numerical methods including finite elements, finite differences and optimisation.With recent developments in 3D printing technologies it is now possible to manufacture …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mathematical Sciences
Research centre(s)

GPU acceleration for the lattice Boltzmann method

The lattice Boltzmann method has recently gained popularity for modelling complex fluid​ dynamics including in microfluidics and bio-engineering. The method is computationally expensive, especially for 3D calculations.The aim of this project is to develop codes for the Lattice Boltzmann method that utilise the parallelism of graphics processing units (GPUs) to extend our capabilities for modelling flow phenomena.

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mathematical Sciences
Research centre(s)

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