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linguistic PhD Projects, Programs & Scholarships

We have 17 linguistic PhD Projects, Programs & Scholarships

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  Eating Disorders in Men: Qualitative Analysis of UK Popular Media Coverage
  Research Group: Psychology
  Dr R Delderfield, Dr P Branney
Applications accepted all year round

Funding Type

PhD Type

“Representations of Illness or Wounded Storytellers?” Research into male eating disorders is still considered to be in its infancy.
  Doctoral Candidate (PhD student) in European Union Law (M/F)

Funding Type

PhD Type

Deadline for Application. 15 September 2019. The Faculty of Law, Economics and Finance of the University of Luxembourg is recruiting a.
  DOCTORAL CANDIDATE (PHD STUDENT) IN LUXEMBOURG BUSINESS LAW (M/F)

Funding Type

PhD Type

The University of Luxembourg is a multilingual, international research University. The Faculty of Law, Economics and Finance of the University of Luxembourg has an opening for a.
  Doctoral Candidates (PhD Students) in Law M/F

Funding Type

PhD Type

 The Doctoral Training Unit on Enforcement in Multi-level Regulatory Systems II (REMS-II) is opening various funded PhD positions in law, in the following topics.
  The representation of syntax in English and Mandarin Chinese
  Dr B Yao, Dr A Stewart
Applications accepted all year round

Funding Type

PhD Type

How syntax (language structure) is mentally represented in the brain is an ancient and challenging question in cognitive sciences.
  Semantic Reading
  Prof U Sattler, Dr A Freitas
Applications accepted all year round

Funding Type

PhD Type

In the last decade, Natural Language Processing has seen impressive improvements in tasks such as question answering and text summarization.
  Investigation on integrating texts in document recognition
  Dr Q Wang, Prof Y Huang, Dr Y Goulermas
Applications accepted all year round

Funding Type

PhD Type

Chinese document recognition technology has achieved tremendous advance in recent years, however, it has not been solved yet for the documents of free handwriting or complicated background, where the recognition performance is not good enough for the industrial application, and is far away from human recognition.
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