Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- AALTO UNIVERSITY
- The University of Edinburgh
- Loughborough University
- Loughborough University;
- The University of Edinburgh;
- Durham University;
- Edinburgh Napier University;
- The University of Manchester
- University of Birmingham;
- University of Bradford;
- ;
- European Magnetism Association EMA
- KINGS COLLEGE LONDON
- Manchester Metropolitan University
- Newcastle University
- Oxford Brookes University
- Swansea University
- University of Birmingham
- University of Bristol
- University of Cambridge;
- University of East Anglia
- University of Exeter
- University of Nottingham;
- University of Oxford
- University of Sheffield
- University of Surrey
- 17 more »
- « less
-
Field
-
on atomic scale, requiring the development and study of ever more realistic model systems. Single atom catalysts, where the catalytic site contains only a single metal atom supported on a heterogenous
-
involve experimental optimisation, leveraging computational tools, statistical modelling, and emerging AI/ML applications to streamline and accelerate the workflow for complex mixtures and metabolomics
-
, and in collaboration with Previsico Ltd. and the US Geological Survey, the researcher will combine fieldwork, remote sensing, and modelling (using CAESAR-Lisflood) to quantify how burned landscapes
-
scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
-
the collective power of the human imagination. Thomas More’s Utopia (1516), first published in Latin and then translated into many European languages in the century after its publication, provides a model for this
-
more frequent and intense extreme rainfall events, creating serious challenges for flood risk management across the UK. Current rainfall datasets are not fit for purpose: radar estimates can be
-
challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
-
mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
-
towns and cities as flood peaks, known as Natural Flood Management (NFM). Most research on NFM centered on hydrological modelling and its effectiveness in reducing flood peaks at varying spatial scales
-
response to everyday violence. As it investigates the complex connections between cultural products and the societies that produce them, it develops a model of engagement that deploys such cultural products