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Research projects
Focused scientific study, led by Turing researchers, working with other academics and often industry collaborators, towards defined objectives. Turing research projects aim to be multidisciplinary and multi-institutional, delivering both scientific and real-world impact.
Digital twins for multiphase flow systems
Integrating data, physics and machine learning to develop rapid predictive models for engineered multiphase flow systems
Scottish patients at risk of readmission
Developing a model to predict the risk of emergency admission to hospital for the Scottish population
Data science for climate resilience in East Africa
Combining satellite and social data to measure and grow the impact of tree planting schemes in East Africa
Investigating primary brain tumours
Investigating the stratification of patients with primary brain tumours based on their predicted response to therapy
AI for control problems
Using a competition platform to accelerate progress in data-driven control problems
Automating translation by determining text difficulty
Building a model to determine the features of text which make it more difficult for machine translation
Identifying potential disease causing variants in genetic data
Developing an algorithm to identify disease causing variants in protein-coding regions of genes
Raphtory: A practical system for the analysis of dynamic graphs
Developing an open source system for dynamic graph analysis of datasets
Understanding differences in population estimates for Leeds
Identifying how and why population estimates in Leeds differ between GP registers and the ONS
DiffPriv: Enhancing privacy with secure computation
Reducing information leakage in the usage of personal data
Risk and uncertainty in peatland carbon emissions
Assessing and managing the risk of abrupt greenhouse gas emissions from peatlands
Machine learning and large cryogenic electron microscopy data sets
Applying machine learning techniques to identify interacting protein molecules in large cryogenic electron microscopy (cryo-EM) data
Time-sensitive sensing of language and user-generated content
Developing methods for understanding changes in behaviour over time, with applications in mental health
