Dr. Peter Agger

Associate Professor

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Biography

Peter Agger is an Associate Professor in the Department of Clinical Medicine at Aarhus University and a specialist paediatrician. With a focus on the intersection of clinical practice, research, and teaching, his research centers on the diagnosis and monitoring of structural heart disease using advanced imaging techniques. He has established national and international collaborations aimed at the development of new technologies and methods for congenital heart disease. His work includes numerous publications and contributions to EU-funded projects, exploring interdisciplinary approaches that combine morphology, physiology, and clinical insights to advance research and innovation in patient care. Agger also teaches medical students at both the undergraduate and graduate levels, emphasizing anatomy, physiology, and research theory, and has been involved in curriculum development for postgraduate education. His research interests encompass the structural and metabolic alterations in the heart that influence the development of heart failure, particularly through the integration of 3D visualization and imaging-based diagnostics in understanding congenital heart disease.

Research Interests

Experience

Associate Professor

2019-04-01 — 2025-03-31

Aarhus University • Aarhus, Denmark

Teaching and researching in the field of congenital heart disease.

Awards

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Børnehjertefondens Forskningslegat

2013-10-03
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Fuldt PhD stipendium fra Aarhus universitet

2013-01-01

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.