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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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domestic and international travel) Leading data management Leading data analysis Developing research materials (e.g., intervention materials, measures, forms, project newsletters, and recruitment scripts
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national network of collaborators with similar research programs. Required Qualifications: Highly motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis
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with GPU-accelerated computation and high-dimensional data analysis. Enthusiasm for applying AI innovations to real biological and medical challenges. Required Application Materials: Cover letter
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primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science, and
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platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex biological
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processes: The design and implementation of randomized controlled trials, the analysis of administrative data, the analysis of video and audio data, qualitative studies of implementation through interviews
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decision-making Required Qualifications: We’re seeking a highly motivated postdoctoral fellow with extensive experience in economic theory, quantitative modeling, and technology-driven economic analysis
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and neuroimaging data analysis. Extensive experience with functional magnetic resonance imaging, including resting fMRI and task fMRI. Proficiency in handling NIfTI-format neuroimaging data and
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scientists Expertise in machine learning, particularly in computer vision and in relation to multimodal sensing data, mobile crowdsensing technology, and predictive modeling Strong data analysis and