60 postdoc-distributed-algorithms positions at University of Sheffield in United Kingdom
Sort by
Refine Your Search
-
on product quality (phase assemblage, relative zirconolite yield, density, composition, surrogate oxidation state and NA distribution) must be assessed by routine in-house techniques (XRD, SEM) and advanced
-
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
-
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
-
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
-
optimise the algorithms for optimal process control. The research will benefit from the available experimental facilities including laboratory-scale digesters, excellent analytical facilities, expertise in
-
/battery systems for distributed power generation. The balance of economics and performance of the system will be the main objective of the research. Computer modeling techniques will be employed in order to
-
electron microscope combined with Digital Image Correlation and a microgrid technique to measure local strain distributions in the microstructure up to failure. This project will be run in liaison with Tata