1,398 estimation-methods "https:" "Computer Vision Center" positions at Duke University
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research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and
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Natural Language Processing (NLP) and teaching. The successful candidate will be able to teach a core class in the MIDS curriculum that covers Natural Language Processing (NLP) methods, including Large
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estimation Identify, evaluate, manage, and document datasets including health, mortality, climate, demographic, and labor productivity data Support quantitative and geospatial analysis of heat exposure
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to 5 years of broad experience in construction or maintenance carpentry to acquire knowledge of the methods and techniques of the carpentry trade. EQUIVALENT COMBINATION OF EDUCATION AND EXPERIENCE
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recruiting for an Associate in Research. This position will be in person (Durham, NC, USA), with an approximate start date in summer 2026. The appointment requires a two-year commitment, with an initial
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an opportunity for a qualified Associate in Research candidate interested in developing New Amination Methods and Strategies that can streamline the creation of structurally complex and richly functionalized novel
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data, and apply the computational methods to understand biomedical problems like tumor microenvironment, immunology, and aging. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio
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at https://energyaccess.duke.edu/ . The scholar selected for this position will work closely with EAP faculty (including Profs. Marc Jeuland and Robyn Meeks) and with co-director Jonathan Phillips, as
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position is available in Dr. Gustavo Silva’s laboratory at Duke University (https://sites.duke.edu/silvalab ). The prospective candidate will develop research focused on developing and using functional
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits