Dr. Anne Blankholm

Assistant Professor

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Biography

Anne Dorte Blankholm is a PhD Researcher at the Department of Clinical Medicine, Aarhus University, where she specializes in Comparative Medicine. With a robust academic background, Blankholm has been involved in various research projects and outputs since 2002, showcasing her dedication to advancing knowledge in her field. She has contributed to numerous projects related to optimal physiological childbirth and non-contrast enhanced Magnetic Resonance Angiography, indicating her diverse research interests and collaborative spirit. Over the years, she has participated in multiple conferences, workshops, and lectures, continuously engaging with the academic community to share her findings and insights. Her contributions to research have been recognized through awards and media coverage, further highlighting her commitment to excellence and innovation in the field of medicine. Blankholm remains an active member of several research networks and committees, reflecting her passion for collaboration and knowledge sharing in clinical medicine. Her educational endeavors also include supervising PhD studies, demonstrating her dedication to mentoring the next generation of medical researchers.

Research Interests

Experience

PhD Researcher

2011-01-01 — Present

Aarhus University • Aarhus

Conducting research in the field of Comparative Medicine, focusing on obstetrics and non-invasive imaging techniques.

Awards

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2nd Place Poster Award: category Research Focus Proffered Paper

2015-01-01
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Non-Contrast Enhanced Magnetic Resonance angiography preoperative examination for living kidney donors

2015-01-01

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.