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University of Liverpool Computer Science & IT PhD Projects, Programs & Scholarships

We have 20 University of Liverpool Computer Science & IT PhD Projects, Programs & Scholarships

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  Beam transport issues in high-power x-ray Free Electron Lasers
  Prof A Wolski, Dr F Jackson
Applications accepted all year round
Supervisors. Prof. Andy Wolski (University of Liverpool), Dr Frank Jackson (STFC/ASTeC). A studentship is available from October 2019 to study issues associated with efficient transport and precision control of high-quality electron beams in high-power x-ray Free Electron Lasers (x-ray FELs).
  Designing efficient search strategies for new materials discovery (Reference LRC1906CHEM)
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019
There is an urgent need to develop new experimental strategies to discover functional materials.
  Discovery of high-temperature superconductors using Deep Learning (Reference LRC1902CHEM)
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019
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
Application Deadline: 31 July 2019
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.
  Computational Efficiency and Better Understanding of River Deltas Using Lattice Botlzmann Method
  Dr N Leonardi
Application Deadline: 1 April 2019
River deltas are home to half a billion of people, are among the most productive ecosystem on earth, and constitute the main food source for many nations.
  Machine Learning approaches for robust analysis of complex systems
  Dr E Patelli
Applications accepted all year round
This position will close as soon as a suitable candidate has been found. The start date for this position is February 2019. Overview.
  Advanced Microscopy Image Analysis for Life Science Applications
  Dr Y Zheng
Applications accepted all year round
Microscope imaging plays an ever-increasing role in life science research. A large number of images can be continuously generated by various different devices (light microscopy, fluorescence microscopy, electron microscopy, and light-sheet microscopy).
  Analysing ECG with deep learning: human supervised analysis versus A.I. (Artificial Intelligence)
  Dr R Barrett-Jolley, Dr C Dart
Applications accepted all year round
This is a unique and exciting opportunity to learn new skills in artificial intelligence and ageing biology. You will combine patch-clamp electrophysiology with cutting edge machine learning to predict and understand how cells in the heart age.
  Development of Advanced Methods for Biological Signal Analysis
  Dr Y Zheng
Applications accepted all year round
Biological signals (e.g. blood pressure, intraocular pressure, heart beat, ERG, EEG, and ECG) play an ever-increasing role in our daily life.
  Development of Novel Imaging Technologies for Eye Disease
  Dr Y Zheng
Applications accepted all year round
Imaging techniques (e.g. optical, PET, MRI, CT, X-rays) play an ever-increasing role in healthcare. A large amount of imaging, clinical and demographic data in particular has been continuously generated in healthcare.
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