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Tory Eisenlohr-Moul

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1 week ago

Postdoc in Reproductive Neuroscience, Mood, Suicidality, and Menstrual Cycle Hormones University of Chicago in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position with T32 or R01 funding available; timeline is flexible. The post mentions a newly funded R01 supporting the work.

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Country

United States

University

University of Chicago

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Keywords

Computer Science
Psychology
Biology
Neuropsychology
Medical Science
Substance Use
Suicide
Fmri
Statistics
Menstrual Cycle

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About this position

Professor Tory Eisenlohr-Moul at the University of Chicago is recruiting a postdoc in reproductive neuroscience. The project focuses on how sensitivity to normal menstrual cycle hormone changes influences mood, suicidality, and harmful substance use, with a newly funded R01 examining neural mechanisms by which stabilizing perimenstrual estradiol may reduce menstrually-emergent suicidal ideation.

The research environment includes daily diary methods, densely sampled hormone measurement, a placebo-controlled crossover hormone manipulation trial, fMRI, and further development of menstrualcycleR, an R package analytic pipeline for cycle data. This is a strong fit for candidates interested in neuroscience, psychology, medical science, biology, statistics, and computational analysis of longitudinal hormone and behavioral data.

Funding: T32 or R01 funding is available, and the timeline is flexible. Eligibility: US citizenship or permanent residency is required.

How to apply: There is no formal posting yet. Email a CV directly to [email protected].

Funding details

Postdoctoral position with T32 or R01 funding available; timeline is flexible. The post mentions a newly funded R01 supporting the work.

What's required

Applicants should be interested in reproductive neuroscience and the links between menstrual cycle hormone sensitivity, mood, suicidality, and harmful substance use. US citizenship or permanent residency is required. Experience with daily diary methods, hormone-related research, fMRI, or quantitative analysis would be relevant, though not explicitly required.

How to apply

Email a CV directly to the PI at [email protected]. The post says there is no formal posting yet.

More information can be found here

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