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Computer Science & IT PhD Projects, Programs & Scholarships in Liverpool

We have 26 Computer Science & IT PhD Projects, Programs & Scholarships in Liverpool

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  Discovery of high-temperature superconductors using Deep Learning (Reference LRC1902CHEM)
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Applications accepted all year round
This position will remain open until a suitable candidate has been found. 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.
  Discovery of solid electrolytes for new battery technology using Deep Learning (Reference LRC1904CHEM)
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Applications accepted all year round
This position will remain open until a suitable candidate has been found. In the quest towards safer and higher capacity batteries, the development of an all-solid-state battery is a top priority, and is currently limited by the lack of a high-performance material to serve as a solid state electrolyte.
  Designing efficient search strategies for new materials discovery (Reference LRC1906CHEM)
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Applications accepted all year round
This position will remain open until a suitable candidate has been found. There is an urgent need to develop new experimental strategies to discover functional materials.
  Deep Learning for the discovery of High-Temperature Superconductors
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Applications accepted all year round
This position will remain open until a suitable candidate has been found. Reference LRC1903 CS.
  Deep Learning for the discovery of Solid Electrolytes for New Battery Technology
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Applications accepted all year round
This position will remain open until a suitable candidate has been found. Reference LRC1905CS.
  Designing efficient search strategies for new materials
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Applications accepted all year round
This position will remain open until a suitable candidate has been found. Reference LRC1907CS. There is an urgent need to develop new experimental strategies to discover functional materials.
  Design and Analysis of Algorithms for Continuous Optimisation with Applications to Crystal Structure Prediction
  Prof P Krysta, Dr M Dyer, Dr R Savani
Applications accepted all year round
This position will remain open until a suitable candidate has been found. This PhD position is funded by the Leverhulme Centre for Functional Materials Design that has been recently launched at the University of Liverpool.
  Optimal search strategies for automated, robotic material discovery
  Dr J Fearnley, Prof A Cooper
Applications accepted all year round
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.
  Geometry and topology for a continuous similarity between crystals
  Dr V Kurlin
Application Deadline: 24 March 2019
The vision of the project is to transform materials discovery into a routine computational task. Materials discovery still needs a lot of human expertise, trial-and-error and even pure luck, because there is no rigorous theory to guide an efficient search in the huge space of all theoretically possible materials.
  Statistical and machine learning methods for risk prediction of cardiovascular diseases from complex longitudinal data
  Dr G Czanner, Dr I Olier, Prof P Lisboa, Prof G Lip
Applications accepted all year round
Project description. Risk prediction models are used in clinical decision making and are used to help patients make an informed choice about their treatment.
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