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tasks, including library research; participate in group observation activities; administer questionnaires and conduct interviews; take part in experiments; collect, analyze, code, and tabulate data
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was taken, and grade attained. 5. An original research paper (if available) or writing sample If the file is too large, please email Professor Kowalski kowalski@nber.org and current research assistant Griffin
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be research, data analysis, drafting and publishing research articles, and other scholarly outcomes that arise from a four-year project that uses temporal embeddings of large, heterogeneous scientific
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to link behavioral, physiological, and immunological data in both healthy and clinical populations (e.g., patients with cancer). In addition to ongoing data collection, the PI has multiple large, PNI
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EHR data processing, data queries, and dashboards Familiarity with processing data collected using wearable devices (biomedical) Experience with natural language processing and Large Language Model (LLM
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propofol vs. inhaled VolatilE anesthesia (THRIVE) study. THRIVE is a prospective, multi-center, observational study combining data from patients surveys, EHR, and wearable devices. This role may also provide
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) Names of 3 references, their affiliations, and contact information Applicants selected for an interview will be contacted via email. The interview process will consist of an initial 30-45 minute screening
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wellness, related clinical information, and research. Assistant Level: High school diploma or GED is necessary. Both: An understanding of medical terminology, experience in a large complex health care
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queries, and dashboards Familiarity with (biomedical) image processing Familiarity with processing data collected using wearable devices (biomedical) Experience with natural language processing and Large
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benchmarking advanced AI/DL architectures (e.g., physically-informed AI/DL models, state-space models, spatiotemporal transformers, diffusion models, foundation models and/or Large Language Processing Models