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to: Designing and implementing pharmaceutical evaluation studies using RWD and/or omics data Extracting, cleaning, and processing large-scale EHR, claims and/or omics data for analysis Developing and applying
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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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Scholar to join a Sloan Foundation–funded research project led by Prof. Eamon Duede . The project investigates how the rapid emergence of artificial intelligence (particularly large language models) is
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interpretation of study results, and work with a multidisciplinary team to advance The Dunn Lab’s research mission. All studies will involve analysis of data from large-scale epidemiological studies that have
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, including epigenome-wide association studies (EWAS) and causal inference methods. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal
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computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work in quantum algorithms
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information about the RESPECT Lab and our active studies can be found at the RESPECT Lab website . Competitive applicants will have a background in clinical or counseling psychology, public health, or related