Sort by
Refine Your Search
-
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
-
finite element modelling to simulate the deformation of microstructures, novel crack propagation simulation techniques and scale-transition algorithms. The model will be informed and validated using full
-
. Provide a range of psychosocial interventions for example 1:1, group work, providing individualised mental health support to students with multiple needs. Provide advice and support to members of staff in
-
multiple research projects at Sheffield for the Sellafield/National Nuclear Laboratory-based Encapsulant Integrated Research Team (EIRT) focused on development of cement encapsulants to meet Sellafield and
-
needs to be embedded on the two-dimensional surface of the cortex. Which principles guide this transformation is currently unknown. Furthermore, our sense of touch relies on multiple classes of receptors