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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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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
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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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, physics, or other quantitative disciplines), or expected within 6 months. Demonstrated experience in in vivo two-photon imaging using calcium indicators in mice. Strong quantitative and analytical skills
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research Strong quantitative skills, including experience with regression, structural equation modeling (SEM), and multilevel modeling (MLM) Experience with measurement development, factor analytic methods
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. Education and scholarly development The postdoctoral associate will receive structured education in computer vision applications in medical imaging, machine learning, research methodology, responsible conduct
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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
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. The program offers a postdoctoral position to support outstanding scholars starting their academic careers. We seek scholars whose work spans disciplinary boundaries and integrates empirical, analytical, and
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independently ● Strong strategic, analytical, and problem-solving skills ● Strong interpersonal and project management skills to facilitate timely and professional deliverables ● Experience with