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SynTech Centre for Doctoral Training

 

Data collection and analysis will be an essential component of SynTech-CDT research and will require training in statistical methodologies using primarily python-based tools. Students will be trained to acquire an understanding of data management, data storage & the principles of open data. Students in experiment & theory will work closely on topics central to SynTech-CDT themes, such as optimisation of batch effects and systematic variations where competing effects are identified and accounted for so that sufficient experimental replicates are available to distinguish between signal and noise in the recorded data. Further important aspects include ensuring that data used to train ML&AI models is well-sampled, that data augmentation approaches are understood and applied appropriately and that any structure in the data is taken into account in downstream analysis.