Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ; Swansea University
- ; The University of Manchester
- University of Nottingham
- ;
- ; Newcastle University
- ; University of Birmingham
- ; University of Southampton
- The University of Manchester
- University of Sheffield
- ; Brunel University London
- ; Cranfield University
- Imperial College London
- ; Durham University
- ; Loughborough University
- ; St George's, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Cambridge
- ; University of East London
- ; University of Exeter
- ; University of Nottingham
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- AALTO UNIVERSITY
- Coventry University Group;
- Harper Adams University
- King's College London;
- Loughborough University;
- UNIVERSITY OF EAST LONDON
- University of Birmingham
- University of Cambridge
- University of Exeter
- University of Newcastle
- University of Nottingham;
- University of Sheffield;
- University of Strathclyde;
- University of Warwick;
- 31 more »
- « less
-
Field
-
Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
-
prediction model for stage racing that can be used to inform live race decisions based on emerging events. The successful candidate will also spend time embedded in a professional cycling environment and gain
-
are often issued one month in advance, but there is limited research on predictability of cyclones on lead times longer than this. This research will use the latest generation of seasonal and decadal
-
Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
-
environmental inputs, algae physiological parameters and microbial community eDNA data to develop predictive mechanistic models which can be utilised to develop an optimal cultivation strategy. The project is
-
models considering networks of patches and their species and interactions composition to predict spatial and temporal community structure across restoration gradients, aimed at developing a predictive
-
methods for nuclear fusion, motivated by yield prediction in tritium fuel cycles. The lack of scalable tools necessitates large engineering tolerances, increasing reactor cost. Empirical tests are expensive
-
early indicators of clinical improvement by identifying patterns of symptom change within the first few sessions, helping to develop heuristics for predicting who is most likely to benefit. The project
-
– i.e., the light, volume and pitch changes from which we extract meaning – has increased continuously since we have been producing it. Our brains work by generating and testing predictions – but younger
-
which we extract meaning – has increased continuously since we have been producing it. Our brains work by generating and testing predictions – but younger brains, which are messy and inefficient