Dr. Helle Vandkilde

Professor

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Biography

Helle Vandkilde is a Professor at Aarhus University, specializing in the study of the Bronze Age and Stone Age societies, focusing on globalization and identity formation within archaeological contexts. Her research explores the intersections of culture and society through materiality and social practices, particularly in relation to warfare, rituals, and the technological aspects of metalworking. Vandkilde has led various significant research projects, including investigations into the Nordic connections during the Bronze Age and the cultural heritage network in Denmark. She has extensive experience in fieldwork and has participated in international collaborations aimed at advancing the understanding of ancient technological and cultural practices. Her notable contributions include keynote lectures at significant archaeological symposia and numerous publications analyzing the social structures and practices of ancient societies. Varying institutions have recognized her work with multiple awards, highlighting her influence in the field of archaeology and cultural history.

Research Interests

Experience

Professor

2001-01-01 — Present

Aarhus University • Højbjerg, Denmark

Teaching and researching in the fields of archaeology and cultural heritage.

Awards

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Academia Europaea

2019-01-01
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Deutsches Archäologisches Institut

2007-01-01
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Erik Westerby Fondets Hæderspris

2005-01-01
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Europe 17 Award

2017-06-24
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Kraks Blå Bog

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.