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Field
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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data
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-modal data. * Develop and implement algorithms to process, clean, and transform large datasets to support research objectives. * Conduct exploratory data analysis, hypothesis testing, and develop data
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for basic research. The successful applicant will contribute to the further development of the Coincidence Analysis (CNA) method for causal data analysis. Currently, CNA has four key limitations: (I
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Job Posting Title: Software Development Associate ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt
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that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Identify suitable donor options for patients
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collection methods for external data (e.g. web scraping) to collect data for use in modelling and analysis. Develop analytic plans, engineer supporting algorithms, write new functions or applications in
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, clustering, dimensionality reduction) to extract meaningful insights from multi-modal data. ● Develop and implement algorithms to process, clean, and transform large datasets to support research objectives
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is seeking to hire a part-time (20-30 hours) research technician to support the development of an software algorithm for the project, “Measuring Ocular Pulse Amplitude with Fixed Force Applanation
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on her project, Development and Validation of Applanation Tonography, with development of an algorithm to assist in the validation of measurements. This will afford a mentoring/mentee opportunity to a Duke
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operates with significant independence while collaborating with cross-functional teams, managing multiple complex projects simultaneously, and providing technical leadership to junior developers. This role