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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D
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of research activity, which remains the property of Duke University upon termination. - Provide training to junior graduate students, master's students, and undergraduates. - Adherence to University standards
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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& Collaboration: Work with undergraduate students who wish to participate in the experimental phase; collaborate with an interdisciplinary team spanning fluid mechanics, plant biology, and climate modeling
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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research activities. Must hold a PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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• Contribute to mentoring students and assisting with research proposal development Preferred Qualifications: • Ph.D. in ecology, atmospheric science, remote sensing, or a closely related field • Experience