AI approaches for NMR analysis of biomolecular mixtures
Dr A Lisitsa, Dr I Barsukov
Applications accepted all year round
This position will remain open until a suitable candidate has been found. This is an interdisciplinary project (Computer Science and Biochemistry) aimed at the development of novel AI methods for the analysis of Nuclear Magnetic Resonance spectra.
Assurance of Machine Learning Enabled Systems
Dr L Dennis, Dr X Huang
31 January 2019
This project is to develop techniques for the assurance of learning-enabled systems, whose components may be obtained by training with data-driven machine learning techniques.
Deep Learning with main target to Discover High-Temperature Superconductors
Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
31 July 2019
Reference LRC1903 CS. High temperature superconductivity has great promise to transform society because it offers the transmission of electricity without loss of energy and the creation of large magnetic fields with applications including healthcare.
Optimal search strategies for automated, robotic material discovery
Dr J Fearnley, Prof A Cooper
30 June 2019
This position will remain open until a suitable candidate has been found. New functional materials are central to society but they can be hard to find in the laboratory because of the astronomical search space that is defined by the available atomic and molecular building blocks.