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Study in:
Cambridge
Available as:
Full-time
,
Part-time
Course features
Our research groups are shaping the world with innovative technologies and applications, often in collaboration with industry. We encourage PhD candidates to take an active role in our School's research community, in areas currently ranging from Artificial Intelligence, Machine Learning, Data Science and Applications, Imaging Technologies, Vision and Acoustics, IoT, Digital Systems and Cloud Computing, Semantic Web, Educational Technologies and Cyber Security.
Study in:
Chelmsford
Available as:
Part-time
Course features
Combine doctoral research with your full-time career, and make a substantial contribution to the development of professional practice in your area. We can offer supervision in specialisms including ecology, conservation and animal behaviour and welfare, biomedical and forensic sciences, built environment, computing, medical and mechanical engineering, molecular biology, psychology or sport and exercise science.