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-to-system solutions to prepare and submit your application to Grants.gov and track your application in eRA Commons. Learn more . Table of Contents Part 1. Overview Information Part 2. Full Text
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to work with large language models (LLMs) and unstructured clinical text from electronic health records (EHRs). Desired technical skills include prompt engineering, few-shot and zero-shot learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
. radiology, sequencing, or text) or large language model-based approaches for extracting information from clinical notes at scale. The lab’s goal is to address the key technical challenges holding back
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11, 2018 Post-Doctoral Position in Biomedical Data Mining Requisition ID: 180000MG Organization: School of Medicine - Clinical Departments Job Posting: Apr 24, 2018 The Department of Dermatology
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- Norman Campus (Norman, OK) Open Date Apr 05, 2023 Description The candidate is responsible for analyzing and mining multi-omics data using computational techniques, such as deep learning, generalized
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required. Required Qualifications: Expertise in one or more of the following areas to solve problems in computational epidemiology as they relate to HAIs: AI, algorithms, discrete optimization, data mining
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candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be
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any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images
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modeling. The work will focus on application of state-of-the-art Data Mining/Natural Language Processing techniques for information from published literature, development of classical machine-learning models
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. Qualifications a. Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining