Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; Newcastle University
- ; University of Exeter
- ; City St George’s, University of London
- ; Cranfield University
- University of Cambridge
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Nottingham
- ; University of Sheffield
- ; University of Warwick
- AALTO UNIVERSITY
- ; University of Oxford
- Imperial College London
- The University of Manchester
- University of Newcastle
- ; Brunel University London
- ; University of Cambridge
- ; University of East Anglia
- ; University of Leeds
- ; University of Strathclyde
- Abertay University
- Harper Adams University
- KINGS COLLEGE LONDON
- University of Bristol
- University of Oxford
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; University of Greenwich
- ; University of Plymouth
- ; University of Reading
- King's College London
- Manchester Metropolitan University
- Newcastle University
- UCL
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Cambridge;
- University of Exeter
- University of Glasgow
- University of Greenwich
- University of Liverpool
- University of London
- University of Nottingham;
- University of Warwick
- 48 more »
- « less
-
Field
-
freshwater fishes, structured around the following objectives: Use the LOC to map the freshwater fish distributions in Madagascar, including threatened, invasive and human food species Create predictive models
-
-frequency Joule losses. Litz wire is one of the most promising solutions due to its exceptional ability to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully
-
on modelling and testing of new reactors with a view to optimising the best systems for mixing supercritical water (>378o C and 221 bar) with wastewater feed streams. This needs to generate residence times
-
. A non-deterministic AI machine learning model for the identical task would not offer this demonstrability or, critically, the repeatability of classical algorithm-based systems. Furthermore, there is
-
of the particle fuel, crack initiation/propagation and failure mechanisms in relation to test temperature. Finite element (FE) modelling using FE tools such as Abaqus, (or) Ansys, (or) COMSOL is optional
-
: Coordination Layer: Formulate passivity-based conditions that guarantee agents—modelled as general nonlinear systems—synchronize their outputs or follow desired collective patterns purely through local
-
of developing a computational model to simulate hydro-sedimentary dynamics and morphology between restored patches to explore conditions favourable for restoration. Validated with data on vegetation cover and
-
well as across the full life cycle. Expected Outcomes Development of aircraft energy consumption model(s) Adaptation and application of the model for different fuels and/or propulsion systems, and for different
-
, osteosarcoma) cell and time of origin is debated but experimental studies in different models suggest possible in utero induction with postnatal initiation similar to leukaemia. In Ewing sarcoma, FET::ETS gene
-
the solidarity and cooperation within and between democratic countries. There have been concerns about the use of Generative AI and Large Language Models (LLMs) as tools for the dissemination of disinformation and