Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Group. The role will provide an opportunity to work across multiple projects within the realms of Artificial Intelligence and Digital Screening. The role holder will collaborate with cross-functional
-
at Nottingham https://www.nottingham.ac.uk/coatings/ is an international reference for all Thermal Barrier Coating activities. This PhD programme, in partnership with Rolls-Royce, will address key challenges
-
PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
-
the School of Medicine. The group is internationally recognised for its work in the application of Artificial Intelligence (AI) and Digital Cancer Screening and collaborates with major NHS programmes, academic
-
excellence, developing and applying innovative research in Artificial Intelligence (AI) and Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application
-
research in areas including Artificial Intelligence, Big Data and Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing
-
of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation
-
. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence
-
field of Artificial Intelligence, commencing 1st October 2025. The studentships will have a duration of 42 months (3.5 years), with an annual stipend at the UKRI rate (currently £20,780) and £3000 p.a
-
’ or ‘internationally excellent’. The highly research active SP Section comprises 13 permanent academic staff with research interests in Bayesian computational statistics and machine learning, uncertainty quantification