Dr. Niklas Telinius

Assistant Professor

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Biography

Niklas Telinius is a Clinical Associate Professor in the Department of Clinical Medicine and the Department of Ophthalmology at Aarhus University. He holds a DMSc, MD, and PhD, focusing on cardiovascular and ophthalmic research. His research spans across various topics including heart health, circulation, and ocular conditions, contributing to numerous publications over the years. With an impressive track record of projects, he served as project manager for the Danish Cardiovascular Giraffe Research Programme from 2005 to 2017. He is recognized for his contributions through various awards, such as the 1st Price for Oral Presentation at the 19th Annual Meeting of the Scandinavian Society for Research in Cardiothoracic Surgery. Telinius has actively participated in symposiums and workshops as a speaker, presenting innovative research ideas aimed at improving clinical outcomes and minimizing the need for animal experimentation. Additionally, he engages in collaborative research efforts within his fields of interest, networking across Europe to enhance the understanding and treatment of cardiovascular and thoracic diseases.

Research Interests

Experience

Clinical Associate Professor

2005-01-01 — Present

Aarhus University • Aarhus, Denmark

Teaching and conducting research in clinical medicine and ophthalmology.

Awards

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1st Price Oral Presentation

2009-02-05
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Poster Presentation

2009-01-16
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Mrs. Anna og Dagny Hjerrilds Prize

2014-01-01

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.