Dr. Sharna Jamadar

Associate Professor

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Biography

Sharna Jamadar is an Associate Professor and NHMRC Emerging Leader Fellow at the Turner Institute for Brain and Mental Health as well as the Monash Biomedical Imaging at Monash University. Her research focuses on understanding how life experiences change the brain and contributes to resilience during the aging process. She has a particular interest in developing and applying novel imaging methods to study brain connectivity changes across the lifespan. In addition, Sharna has recently emerged interests in the neuroscience of parenthood, proposing a new hypothesis that parenthood contributes to cognitive reserve and resilience in aging. She is an expert in multimodal neuroimaging, utilizing a variety of imaging techniques such as positron emission tomography (PET), functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and eye-tracking to study the brain. Sharna's team at Monash Biomedical Imaging leads the development of simultaneous functional PET/MR imaging in humans, creating high-resolution measures that map the brain's function, structure, and metabolic efficiency. To date, she has received significant competitive funding and numerous awards for her contributions to neuroscience including the Australasian Cognitive Neuroscience Society Young Investigator Award in 2023. She is a co-founder of the Australasian Women in Neuroscience Network and is actively involved in advocating for equity and diversity within the scientific community.

Research Interests

Experience

Associate Professor

2018-01-01 — Present

Monash University • Melbourne, Australia

Leading research in cognitive neuroimaging and brain health.

Awards

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Young Investigator Award

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Distinguished Early Career Contribution

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.