55 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Yale University
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their research, postdocs are expected to teach one interdisciplinary undergraduate seminar, be available to meet undergraduate students of the EP&E major, and assist with advising majors on their senior essays
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experience are all desirable. Application Instructions As of February 20th, 2026, applicants may begin to upload their materials online via Interfolio. INTERFOLIO LINK: https://apply.interfolio.com/181934
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, while also playing a key role in the day-to-day operations of a dynamic team of faculty, research scientists, and students committed to advancing LGBTQ mental health through research (https
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available. (https://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale/postdoctoral-compensation ) Application Instructions Yale University will use Interfolio to search for this position. Applicants receive
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multimodal data analysis is preferred; experience with R, machine learning, or advanced statistics is a plus. Training and Research Environment: The successful candidate will receive interdisciplinary training
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and deep learning methods for large-scale genomic, clinical, and imaging biobank data, with stable multi-year NIH support. The Zhi Laboratory has a sustained track record of methods development
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-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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collaborative work, as evidenced by publications or preprints. Enthusiasm for learning neuroimmune biology is essential; prior formal immunology training is not required. Mentoring, training, and collaborations
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include: Biomedical sensing and physiological monitoring Edge intelligence and energy-efficient machine learning hardware Radar and wireless signal processing and communications The successful candidate