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computational science PhD Projects, Programs & Scholarships

We have 426 computational science PhD Projects, Programs & Scholarships

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  EPSRC Centre for Doctoral Training in Science and Engineering in Arts, Heritage and Archaeology (SEAHA)
 Science and Engineering in Arts, Heritage and Archaeology (SEAHA) is a 4-year MRes/PhD cross-disciplinary programme based at UCL, University of Oxford and University of Brighton.
  PhD Studentship in the Multi-Omic Analysis of Bladder Cancers
  Dr A Feber
Application Deadline: 8 January 2019
A 3 year funded position is available in the group of Dr Andrew Feber, in the Department of Targeted Intervention, Division of Surgery and Interventional Science.
  Modelling adaptive radiotherapy biomarkers
  Dr I Pires
Application Deadline: 23 January 2019
Adaptive Radiotherapy. Engineering the radiobiological tumour for improved radiation success. To celebrate the University's research successes, the University of Hull is offering a full-time UK/EU/International PhD Scholarship for candidates applying for each of the following projects as part of a new research cluster.
  EPSRC Centre for Doctoral Training in Data Science
EPSRC Centre for Doctoral Training in Data Science. The EPSRC Centre for Doctoral Training (CDT) in Data Science, based at the University of Edinburgh, has 10 funded PhD studentships available per year.
  Doctor of Philosophy (PhD) programs
The University of Lethbridge – School of Graduate Studies. Located where the Rocky Mountains meet Alberta's Prairies, the University of Lethbridge is one of Canada's leading universities and research institutions.
  Deep Learning with main target to Discover High-Temperature Superconductors
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 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.
  Deep Learning with main target to Discover Solid Electrolytes for New Battery Technology
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019
Reference LRC1905CS. 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.
  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.
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