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Brittany Intzandt

4 months ago

MSc and PhD Positions in Brain Health, Neuroimaging, and Biostatistics at York University York University in United States

Degree Level

Master's, PhD

Field of study

Biostatistics

Funding

Full funding available

Deadline

December 31, 2026
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Country

United States

University

York University

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Keywords

Biostatistics
Biology
Neuroimaging
Kinesiology
Health Science
Neuropsychology
Population Health
Salud Pública
Sex Differences
Neurodegenerative Disease

About this position

York University’s School of Kinesiology & Health Science (Faculty of Health) is seeking thesis-based MSc and PhD students to join the research program led by Assistant Professor Brittany Intzandt. The lab investigates how lifestyle factors influence brain health, with a special focus on sex-specific differences and outcomes across ethnically and racially diverse populations. Research methods include neuroimaging, biostatistics, and large-scale modeling to explore brain–body connections and inform more precise, equitable, and inclusive approaches to healthy brain aging and reducing the risk of neurodegenerative conditions.

Students will have the opportunity to participate in a new partnership with a world-renowned research hospital, enabling engagement in clinically anchored, population-level brain health research. The lab values intellectual curiosity, enthusiasm for data-driven research, and a motivation to make a rigorous and meaningful impact in the field.

Applicants should be interested in neuroscience, public health, biology, and related fields. The positions are open for a Fall 2026 start. Interested candidates are encouraged to contact Dr. Brittany Intzandt via direct message or email ([email protected]) to discuss their interest and fit for the lab. The application deadline is approaching, so early contact is recommended.

Key research areas: brain health, neuroimaging, biostatistics, healthy brain aging, sex-specific differences, population health, kinesiology, health science, neurodegenerative conditions, large-scale modeling.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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