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poverty nationwide. The fellowship will provide the successful candidate with the opportunity to engage in mentored research, gaining experience in applied demography, large-scale secondary data analysis
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analyzing large data sets, and associated software skills Team player, able to work with faculty as well as undergraduate students Responsibilities: Data Analyses: Downloads, processes, analyzes, and
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epidemiology. Successful candidates will participate in NIH- and DoD-funded epidemiologic research under the mentorship of Dr. Maria Argos, utilizing data sources from US- and international-based cohorts
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We are seeking a highly motivated and innovative researcher working at the interface of modeling complex system and AI to join our team developing Large Language Models (LLM) based agentic code
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Arts and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Details Department Carolina Population Center - 631100 Posting Open Date 06/10/2024 Application Deadline 06/14/2024 Open Until Filled No Position Type Postdoctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Details Department Carolina Population Center - 631100 Posting Open Date 06/10/2024 Application Deadline 06/14/2024 Open Until Filled No Position Type Postdoctoral
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/restoration decision network”. The postdoctoral scholar will join the team to work to develop a decision network that integrates species-specific information to inform seed collection planning, seed orchard
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
research on health using big data. The research is housed at the Carolina Population Center and the postdoctoral fellow will work as part of a collaborative team with expertise in human biology, epidemiology
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satellite remote sensing datasets, including novel NASA MiDAR and fluid lensing datasets. Applicant will have a strong background in convolutional neural networks (CNNs), data labeling and training, and is