Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Manchester
- Queen's University Belfast
- UNIVERSITY OF SOUTHAMPTON
- UCL;
- University of Birmingham
- Plymouth University
- University of Nottingham
- University of Leeds
- King's College London
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF SURREY
- University of Oxford
- CRANFIELD UNIVERSITY
- The University of Southampton
- University College London
- University of Birmingham;
- University of Glasgow
- University of Oxford;
- University of Southampton;
- Durham University
- University College London (UCL)
- University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences
- University of Bristol
- University of Sheffield
- University of Warwick;
- ;
- Brunel University
- Brunel University London;
- Cranfield University
- Daphne Jackson Trust;
- Imperial College London
- LASE (University of Greenwich);
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Newcastle University;
- Royal College of Art
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Manchester;
- UCL EE
- Ulster University;
- University of Cambridge
- University of Dundee
- University of East Anglia
- University of Greenwich
- University of Leeds;
- University of London
- University of Nottingham;
- University of Surrey
- University of York;
- 38 more »
- « less
-
Field
-
and delivered in collaboration with Ionic Technologies. The project will develop innovative, hydrogen fluoride-free routes for converting recycled rare earth oxide feedstocks into rare earth fluorides
-
, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models
-
College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical
-
of solvents and metal nanoparticles (MNPs). Such irradiation processes occur over a wide range of time and length scales and so we are developing a range of theoretical and computational approaches that bridge
-
, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models
-
change, working collaboratively with the Principal Investigator Paulo Savaget and Academic Director Marya Besharov. The role spans the full research process, from developing research questions and
-
experience in one or more of the following: tensor-triangular geometry homotopy theory commutative algebra, point-free topology The ability to develop and deliver high quality research to be published in peer
-
regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education
-
precursors can be converted rapidly into structurally complex molecules through dearomatisation, rearrangement and cycloaddition chemistry. Particular emphasis will be placed on developing new reactions based
-
precursors can be converted rapidly into structurally complex molecules through dearomatisation, rearrangement and cycloaddition chemistry. Particular emphasis will be placed on developing new reactions based