Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- UNIVERSITY OF SURREY
- CRANFIELD UNIVERSITY
- QUEENS UNIVERSITY BELFAST
- University of Leeds
- University of Nottingham
- University of Oxford
- University of Surrey
- Aston University
- Birmingham City University
- Cranfield University
- Plymouth University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- University of the West of England
- 7 more »
- « less
-
Field
-
-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
-
on auction theory, matching markets, market and mechanism design, and/or algorithmic game theory. You will possess sufficient specialist knowledge in the discipline to work with established research programme
-
. This involves designing and optimising electromagnetic actuators, developing power electronic circuits, and implementing control algorithms. You will engage in advanced modelling, simulation, prototype
-
, developing power electronic circuits, and implementing control algorithms. You will engage in advanced modelling, simulation, prototype development, and validation to support the engineering efforts
-
modelling for the analysis of biochemical processes. In this role, you will develop mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on formal
-
will be carried out in consultation with the research award holders (Prof Chockler and Prof Dongol) as well as other members of the REDONDA consortium. This may include developing algorithms under
-
: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Tensor networks - Quantum machine learning - Computational complexity - Topological order The main responsibility
-
many-body dynamics Quantum algorithms Quantum-enhanced numerical methods Tensor networks Quantum machine learning Computational complexity Topological order The main responsibility of the role is to
-
consortium. This may include developing algorithms under abstract computational models, verifying their correctness, and evaluating their performance both analytically and experimentally. The experimental
-
level you will be a nationally recognised authority in the field of AI concerned with the development and study of statistical algorithms (additional background in offshore renewable energy would be