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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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constructs and within-person change, as well as spoken narrative data. The overarching goal is to characterize longitudinal trajectories of core computational constructs (e.g., reward learning, decision-making
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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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scientists, and collaborators at academic and health-system sites nationally and internationally. The position is supported primarily through the DISCOVER-AI initiative, a three-year project within
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academic research career within a collaborative and mentorship-oriented environment. The research environment is highly collaborative and publication-oriented, with opportunities for trainees to lead
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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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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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evolutionarily conserved structured RNAs and candidate mammalian riboswitches from large genomics and transcriptomics datasets. The position will involve close collaboration with experimental scientists who will
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The postdoctoral associate will be embedded in a collaborative research environment that brings together expertise in functional genomics, regulatory genomics, machine learning, population genetics, and human
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studies how the infant brain learns about the social world and how early-life experience shapes neural circuits with long-term consequences for learning, attachment, and mental health. Our work focuses on