Dr. Merete Birkelund

Associate Professor

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Biography

Merete Birkelund is an Associate Professor in the School of Communication and Culture at Aarhus University, specializing in French linguistics. Her research focuses on semantics, modality, and the pragmatics of negation in French. Birkelund is actively involved in various research projects exploring linguistic structures and their implications for cultural discourse. She has a rich background in academic contributions, organizing conferences, and peer reviewing manuscripts. Her projects include interdisciplinary analyses of political discourse and narrative structures, and she has collaborated on multiple initiatives related to French language and literature. Birkelund has received several awards for her contributions to linguistics education and research, reflecting her commitment to advancing knowledge in her field. She has taught courses on French grammar, translation, and linguistic communication, shaping the next generation of linguists in Denmark and beyond.

Research Interests

Experience

Associate Professor

2020-01-01 — Present

Aarhus University • Aarhus, Denmark

Teaching and research in French semantics and linguistics.

Awards

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Ambassador Scientist

2023-11-01
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Censor for French Studies

2018-04-01
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Erasmus+ Grant for Staff Mobility

2025-06-01

Courses

French Grammar and Translation French Linguistics and Written Communication French Language, Grammar, and Pronunciation French Language Theory and Practice

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.