63 phd-position-data-mining PhD positions at University of Nottingham in United Kingdom
Sort by
Refine Your Search
-
trial. Following completion of the PhD, the researcher should be in a position to design, set up and conduct independent research. This project builds on previous work completed in Nottingham in the field
-
staff and more than 6 PhD students. See https://www.nottingham.ac.uk/mathematics/research/mathematical-neuroscience.aspx for further information. The positive research environment fostered by the School
-
, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and
-
that present significant problems for data reduction and analysis. This PhD project, in close collaboration with researchers at ISIS Neutron and Muon Source and University of Nottingham, will address this by
-
effects. This approach will then be deployed to simulate the behaviour of bubbles over a range of flow conditions and heat transfer surfaces with different characteristics. This data set will finally be
-
We are inviting applications for a fully funded PhD place, which will be supervised by Dr Joanne Cormac of the University of Nottingham's Music Department, for three years, starting on 1 October
-
The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming
-
Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms Background Network Rail operates several telecom networks which provide connectivity for various...
-
PhD funding opportunity Do you have an Architectural Degree and are interested in the sustainable intervention of built heritage at risk? Are you curious about how digital recording technologies can
-
In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and