About the Project
This studentship will seek to address principles of the 3Rs by:
Developing new machine learning models to investigate and characterise data.
Packaging machine learning algorithms and data analysis libraries in a form that is more readily accessible to a bench scientist, allowing disparate data to be integrated.
Identifying potential new biological insights from reanalysing legacy data.
Developing new animal handling approaches that allow the collection of more naturalistic data from minimally stressed subjects.
The Langston lab and collaborators have a large archive of electrophysiological and behavioural data covering a broad range of neurobiological investigations. In addition, the acquisition of new data can be automated, especially regarding animal handling. The effect of animal handling on performance in behavioural tests where animals are freely moving has not been rigorously evaluated regarding replicability in the context of handling stress. Over the last decade microelectronics developments have allowed low cost development of mechanical automation that can be leveraged to build test environments that reduce exposure to stress in animal subjects. We have strong collaborations with equipment manufacturers in this area which could be an ideal complementary strand to the PhD project for an appropriate candidate.
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