Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; University of Warwick
- ; University of Nottingham
- ; Cranfield University
- ; Newcastle University
- ; University of Birmingham
- ; University of Southampton
- ; Brunel University London
- ; University of Oxford
- ; University of Sheffield
- Imperial College London
- University of Cambridge
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; St George's, University of London
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Cambridge
- ; University of East London
- ; University of Portsmouth
- ; University of Reading
- ; University of Surrey
- ; University of Sussex
- AALTO UNIVERSITY
- Harper Adams University
- UNIVERSITY OF EAST LONDON
- University of East London
- University of Newcastle
- University of Sheffield
- 25 more »
- « less
-
Field
-
neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection. Comparison with known analytic methods and
-
continuously since we have been producing it. Our brains work by generating and testing predictions – but younger brains, which are messy and inefficient, are presumably less good at ‘keeping up’ with fast-paced
-
– 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
-
: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
-
theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics and PhD students, and communicate your research at national
-
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
-
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
-
contexts, for example to help understand and predict the performance of polysaccharides in food systems and drivers of polysaccharide evolution (manuscript attached). Once promising candidate polymers have
-
optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics