University of California, Los Angeles
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Postdoc in Interoception, Anorexia Nervosa, and Computational Neuroscience at UCLA University of California, Los Angeles in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
NIH-funded postdoctoral position at UCLA. The post indicates a funded research team but does not specify stipend, salary, tuition, or other financial details.
Country
United States
University
University of California, Los Angeles

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About this position
Postdoctoral position at the University of California, Los Angeles (UCLA) in the area of interoception, anorexia nervosa, psychiatric neuroscience, EEG, psychophysiology, and Bayesian/computational modeling.
The post is from Sahib Khalsa, Director of Anxiety Disorders Research at UCLA Psychiatry, who is recruiting for an NIH-funded team studying the neural and computational mechanisms of interoception in anorexia nervosa. The project includes vibrating capsules, EEG, psychophysiology, and Bayesian modeling to predict relapse, with opportunities to publish, collaborate, and contribute to cutting-edge hypotheses about bottom-up versus top-down processing of bodily signals.
Ideal applicants should hold a PhD in neuroscience, psychology, psychiatry, computational modeling, or a related field. Required experience includes EEG/ERP analysis or computational modeling, plus strong statistical and programming skills (Python, MATLAB, R, or similar). Interest in interoception, psychiatric neuroscience, and eating disorders is essential; prior experience with patient populations is a plus.
This is a postdoc opening, and the post describes it as NIH-funded, but no stipend amount, deadline, or formal application portal is provided. Interested candidates are asked to reach out via email and check the LinkedIn job posting for more details.
Funding details
NIH-funded postdoctoral position at UCLA. The post indicates a funded research team but does not specify stipend, salary, tuition, or other financial details.
What's required
Applicants should have a PhD in neuroscience, psychology, psychiatry, computational modeling, or a related field. Required experience includes EEG/ERP analysis or computational modeling, along with strong statistical and programming skills in Python, MATLAB, R, or similar. Interest in interoception, psychiatric neuroscience, and eating disorders is essential; prior experience with patient populations is a plus.
How to apply
Interested candidates should reach out via email and review the LinkedIn job posting for additional details. No direct application portal is provided in the post.
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