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We have 11 Data Science PhD Projects, Programmes & Scholarships for Self-funded Students in Birmingham

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Discipline

Computer Science

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Location

Birmingham  United Kingdom

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I am a self funded student


Data Science PhD Projects, Programmes & Scholarships for Self-funded Students in Birmingham

We have 11 Data Science PhD Projects, Programmes & Scholarships for Self-funded Students in Birmingham

Data-driven probabilistic modelling of clonal dynamics in human tissues and cancers

Cancer is responsible for one in eight deaths, worldwide. Cancer initiation and development is driven by the accumulation of genetic mutations within cells that maintain and regenerate human tissues. Read more

PhD in local structure analysis of nanostructured energy materials.

Applications are sought for a PhD studentship joint between the University of Birmingham and Diamond Light Source, jointly funded by the Ada Lovelace Centre and the University of Birmingham. Read more

Digitalisation of Energy Systems

We are recruiting highly self-motivated PhD candidates in the fields of digitalisation of energy systems, energy systems modelling and optimisation, and renewable energy integration. Read more

Computational methods for medical image analysis: Foundation models, Generative models and Multimodal Learning

Are you a prospective PhD student looking to make a significant impact in healthcare AI? Join our dynamic research team as we delve into the transformative potential of cutting-edge technologies like generative models and foundation models. Read more

Intelligent Software Engineering in the Era of Large Language Model

Software systems are eating the world but Artificial intelligence (AI) is eating the software systems. Given the tremendous development of AI in recent years, innovations like the Large Language Model (LLM), e.g., ChartGPT, have significantly impacted our daily lives. Read more

Neural Networks for Complex Dynamical Systems

Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. Read more
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