Dr. Kevin Clausen

Professor

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Biography

Kevin Kuhlmann Clausen is a Senior Researcher at Aarhus University, specializing in various aspects of ecology, particularly in the study of waterbirds and their migratory behaviors. His research interests include Biodiversity, Evolution, Climatic Changes, and Nature Management, with a strong focus on the adaptive management of Taiga Bean Geese and habitat ecology. He has overseen and participated in numerous research projects and has contributed significantly to the understanding of population biology, migration biology, and fingerprinting techniques in ecological studies. With a keen interest in the effects of environmental changes on wildlife, his published works reflect a commitment to enhancing nature conservation efforts. Clausen is actively involved in peer reviewing and has participated in workshops and conferences aimed at improving wildlife management and research methodologies. His contributions in the field have been recognized through various awards and participation in international projects, strengthening his role as an important figure in wildlife ecology and conservation efforts.

Research Interests

Experience

Senior Researcher

2010-01-01 — Present

Aarhus University • Aarhus C, Denmark

Conducting research on wildlife ecology, focusing on waterbirds and their management.

Awards

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Rejsestipendium fra Oticon Fonden

2012-06-15
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Travel Award from North American Arctic Goose Conference

2011-01-11

Courses

Wildlife Ecology and Management

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.