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computing cluster to allow more efficient analysis. The selected candidate will participate in the training and mentoring of undergraduate and graduate students performing analysis and contributing
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computing cluster to allow more efficient analysis. The selected candidate will participate in the training and mentoring of undergraduate and graduate students performing analysis and contributing
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computing cluster to allow more efficient analysis. The selected candidate will participate in the training and mentoring of undergraduate and graduate students performing analysis and contributing
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: Foggy Bottom, Washington, D.C. College/School/Department: School of Medicine and Health Sciences (SMHS) Family Academic Affairs Sub-Family Program Administration Stream Individual Contributor Level Level
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, D.C. College/School/Department: School of Medicine and Health Sciences (SMHS) Family Academic Affairs Sub-Family Program Administration Stream Individual Contributor Level Level 2 Full-Time/Part-Time
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Posting Details I. JOB OVERVIEW Job Description Summary: Founded in 1824, the GW School of Medicine and Health Sciences (SMHS) is the 11th oldest medical school in the country and the first in the
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of Engineering and Applied Sciences (SEAS) Family Research Administration Sub-Family Research Program Administration Stream Individual Contributor Level Level 3 Full-Time/Part-Time: Full-Time Hours Per Week: 40
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of Engineering and Applied Sciences (SEAS) Family Research Administration Sub-Family Research Program Administration Stream Individual Contributor Level Level 3 Full-Time/Part-Time: Full-Time Hours Per Week: 40
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network and support the experimental program there. Minimum Qualifications This position requires Ph.D. in public health or a related field (e.g., epidemiology, biostatistics, data science, etc.). A strong
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computational and data analysis. Sets up a fully functioning dashboard with integrated RAG LLM to dynamically compare data within different time intervals and come up with AI powered insights into the underlying