Sort by
Refine Your Search
-
Listed
-
Employer
- University of Sheffield
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- University of Glasgow
- UNIVERSITY OF VIENNA
- Nottingham Trent University
- University of Cambridge
- University of Manchester
- Nature Careers
- Wenzhou Business College
- Aston University
- Cardiff University
- Cranfield University
- DURHAM UNIVERSITY
- Durham University
- Imperial College London
- Lancaster University
- Loughborough University
- Ulster University
- University of Birmingham
- University of Bristol
- University of Leicester
- University of London
- University of West London
- Arden University
- Birmingham City University
- Heriot Watt University
- King's College London
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Bath
- University of Newcastle
- University of Northampton
- University of Winchester
- University of the West of England
- 26 more »
- « less
-
Field
-
directly and relate them to structural and functional outcomes. In parallel, you will develop new sensors for intracellular potassium concentration leveraging AI based protein design algorithms. Techniques
-
Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method
-
algorithms that would allow the delay and/or suppression of hysteresis effects in dynamic stall through the use of control surfaces, for example, allowing the safe recovery of aircraft from post-stall
-
adapted based on the abilities and needs of patients. Moreover, automatic intelligent algorithms will be developed in to make the control intuitive, natural and adaptive. Such that the model can learn new
-
Deadline: Applications accepted all year round Details The aim of this project is to develop scalable and efficient techniques and algorithms for localisation in different environments, based on data in
-
information extraction. Advanced algorithms will be developed to obtain useful information such as the 3D flame topology and spread velocity. The candidate should have a good background in mathematics and they
-
practices produced with the help of computer algorithms challenge, subvert and threaten the modernist concept of the author. AI generated creative practices have the capacity to seriously disrupt established
-
using their high performance computational mechanics algorithm Alya, by coupling solid mechanics with electrophysiology. This project aims to personalise this model using medical images (MRI) collected
-
between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
-
. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We