-
interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
-
objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
-
, please contact the supervisors: Dr Samantha Islam - samantha.islam@manchester.ac.uk and Prof Paul Mativenga - p.mativenga@manchester.ac.uk . Please include details of your current level of study, academic
-
prosthetics. The project will be supervised by Prof. Sarah Cartmell, Prof. Julian Yates, and Dr. Jose R. Aguilar Cosme at the University of Manchester. While prosthetic materials continue to evolve, current
-
, biology or engineering related discipline. To apply, please contact the main supervisor: Prof Jian Lu - J.Lu@manchester.ac.uk . Please include details of your current level of study, academic background and
-
ability to work independently and collaboratively. To apply, please contact the supervisors Dr Bissett - mark.bissett@manchester.ac.uk and Prof Kinloch - ian.kinloch@manchester.ac.uk . Please include