Dr. Rolf Blauenfeldt

Assistant Professor

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Biography

Rolf Blauenfeldt is a Clinical Associate Professor at Aarhus University, specializing in the Department of Clinical Medicine and the Department of Neurology. His research focuses on acute stroke treatments, clinical trial methodology, and the quality of stroke care, particularly in relation to prehospital stroke biomarkers. Rolf has a special interest in brain protective therapies, also known as cerebroprotection. He has coordinated the largest prehospital cerebroprotective stroke trials in the world, known as the RESIST trials. Over the past few years, he has been actively involved in research activities, yielding multiple research outputs yearly, including studies related to platelet inhibition and lipid-lowering treatments. Rolf holds important positions in the academic community, including serving as an editor for the BMC Neurology journal. His contributions to stroke research have garnered recognition, including awards from the Danish Neurological Society for Young Researchers and the Poul Dudley White International Scholar award from the American Heart Association.

Research Interests

Experience

Clinical Associate Professor

2015-01-01 — Present

Aarhus University • Aarhus N, Denmark

Teaching and research in clinical medicine and neurology, focusing on stroke treatment.

Awards

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Poster Prize, PhD Day

2020-01-01
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Danish Neurological Society Young Researcher Award

2023-01-01
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Poul Dudley White International Scholar Award

2024-01-01

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.