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applicants who combine strong quantitative skills with a deep interest in the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a
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implements multi-agent systems to optimize clinical decision support and patient monitoring. Rigorous testing of AI safety protocols ensures the reliability and ethical deployment of these autonomous models
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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming
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of a PhD in epidemiology or public health related field Demonstrated success in implementing innovative community-based interventions. Track record of publications in peer-reviewed journals, preferably
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lab members, and collaborate with colleagues across the Duke research community. Required Qualifications at this Level Education/Training: PhD in Physics, Electrical/Computer Engineering/Quantum
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presentation skills for engaging diverse stakeholders. Minimum Requirements: Requires a minimum of a PhD in disciplines such as epidemiology, health demography, bioinformatics, statistics, computer science
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project and will have the opportunity to mentor students. Candidates must hold a PhD or anticipate completion of a PhD prior to starting the postdoc and must have prior publications. To apply, please submit
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, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a related field prior to the start date. Responsibilities for both positions will include
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, and the Economics department, the Fellow will: - Lead empirical analyses linking flood risk, resilience investments, and urban economic outcomes; - Examine fiscal and financial feedback, including
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, online, and lab experiments to study issues such as motivation, dishonesty, cooperation, financial decision making, health behaviors, and habit formation • Developing and testing behavioral