We are pleased to announce a post-doctoral fellowship position with the Cal Mania (CALM) lab directed by Sheri Johnson at the University of California Berkeley. The position will be funded by a new BD2 grant focused on integrating reward and circadian models of bipolar disorder, using animal and human models. Our team collaborates closely with Dr. Ming Hsu and Dr. Lance Kriegsfeld at Berkeley, and cross-site fMRI analyses will be spearheaded by Robin Nusslock at Northwestern University. The broader study will integrate diagnostic and symptom severity assessments, fMRI, and ambulatory assessments of mood and reward-related decision-making.
Specific duties include:
• Help gather and process fMRI assessments, which will occur in the evenings (on average a couple times per month)
• Support study staff in the diagnostic, symptom severity, and ambulatory facets of the study
• Conduct data analysis connecting model and experimental observations.
• Interface with ethics and grant oversight committees.
• Prepare manuscripts, write reports, and give presentations as part of the research team
• Provide mentorship to the post-baccalaureate, and undergraduate students
PhD or equivalent international degree or enrolled in a PhD program or equivalent international degree program at the time of application
-PhD or equivalent international degree
-No more than 3 years of post PhD research experience
• PhD or equivalent international degree in Neuroscience, Economics, Psychology, Decision Sciences or related discipline
• Experience in experimental human cognitive neuroscience (fMRI, ECoG, single-unit recordings) are highly desirable.
• Strong programming skills (e.g., Matlab, R, Python) and deep understanding of statistical methods are a must.
• Experience with mental health populations, including diagnostic and symptom severity assessment is a strong asset for this position.
• Excellent verbal and written communication.
• Interest and willingness to work in an highly interdisciplinary environment.
• Willingness to work evening hours.
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