Dr. Christian Vægter

Associate Professor

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Biography

Christian Bjerggaard Vægter is an Associate Professor at Aarhus University, specializing in neuroscience with a focus on the functions of glial cells in the sensory nervous system and their implications for health and disease. He serves as the course leader and lecturer for the subject 'Molecular Principles of Cell and Organ Functions' in the medical school and is an active member of the teaching committee in the Department of Biomedicine. Vægter has extensive research experience with a strong record of publications and contributions to the field, having collaborated on various topics within biochemistry, neurobiology, and the peripheral nervous system. His research interests are reflected in his leadership of a research group dedicated to understanding glial cells and their roles. He has been recognized with several awards for his teaching excellence and contributions to neuroscience including the Lundbeck Foundation Ascending Investigator award. He holds external positions as a research scientist and serves in multiple committees and boards related to education and neuroscience.

Research Interests

Experience

Research Scientist

2005-04-01 — 2006-04-30

Danisco •

Conducted research focusing on the intersection of biochemistry and neuroscience.

Awards

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Årets Underviser

2023-10-01
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Årets Underviser

2024-10-01
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Lundbeck Foundation Ascending Investigator

2019-09-27

Courses

Molecular Principles of Cell and Organ Functions

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.