Dr. Hendrika Duivenvoorden

Assistant Professor

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Biography

Hendrika Duivenvoorden is a Senior Lecturer at Monash University, where she serves as the Course Coordinator for the Master of Genome Analytics. Her teaching encompasses Foundations in Genetics and Human Genetics, bridging the Faculty of Science and the Faculty of Medicine, Nursing, and Health Sciences. Her commitment to educational research is driven by her passion for enhancing student experiences, particularly through the implementation of inclusive practices in science education. Hendrika's teaching approach emphasizes the use of inclusive language and the creation of engaging educational resources. She also coordinates multiple genetics courses and is involved in various educational initiatives that align with the United Nations Sustainable Development Goals. Hendrika has made notable contributions to academic conferences and is recognized for her role in advancing inclusive education within her field. She holds a PhD in Biochemistry, focusing on myoepithelial proteins and their role in blocking breast cancer progression. In recognition of her contributions to higher education, she received a Higher Education Academy Fellowship in 2021.

Research Interests

Experience

Senior Lecturer

— Present

Monash University • Melbourne, VIC, Australia

Teach and coordinate various courses in genetics and oversee the Master of Genome Analytics.

Awards

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Higher Education Academy Fellowship

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.