Dr. Sylvain Trepout

Assistant Professor

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Biography

Sylvain Trepout is a Research Fellow specializing in Cryo Electron Microscopy (CryoEM) at Monash University. His research primarily focuses on the development of low-dose scanning transmission electron tomography to study the structures of entire prokaryotic and eukaryotic cells in situ. He has contributed significantly to the field by publishing numerous outputs from 2007 to 2023, demonstrating sustained research activity and a commitment to advancing knowledge in electron microscopy. Trepout has also actively participated in various international conferences, including organizing the 19th International Microscopy Congress in 2023. He is committed to mentoring PhD students and engaging with projects that contribute to the United Nations Sustainable Development Goals, particularly in understanding biological systems and interactions at the cellular level. Additionally, Sylvain has received competitive fellowships and awards for his contributions to CryoEM, highlighting his impact on the scientific community and ongoing research endeavors.

Research Interests

Experience

Research Fellow

2021-01-01 — Present

Monash University • Melbourne, VIC, Australia

Conducting research in Cryo Electron Microscopy and mentoring PhD students.

Awards

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Competitive Fellowships

2019-01-01
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Cryo-Scanning Transmission Electron Tomography Eukaryotic Cells

2021-01-01

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.