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of research protocols, data collection and analysis, budget and supply management, manuscript and grant preparation, IRB and/or IACUC submissions, and the supervision of students and research assistants. Both
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: Leveraging big data and computational methods to analyze adaptation behaviors and incorporate its costs and benefits into climate impact assessments. • Adaptation of Places: Partnering with natural scientists
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doctoral-level scientist with rigorous interdisciplinary training in climate data science and health data analysis, fostering the skills, perspective, and leadership capacity needed to establish
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Society, which explores the ecological, historical, and social dimensions of wildfire through classroom and field experiences. The fellow may also lead a Climate+ summer data science project integrating
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with our co-PI at UCLA. Responsibilities include study design, supervising and leading data collection, coding, and analysis, and writing of manuscripts for publication, as well as grant preparation
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. Skills The candidate must have excellent skills in conducting independent research and collaboration within a vibrant multidisciplinary team of mechanical and biomedical engineers, material scientists
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to value and finance climate resilience at scale. We seek a Fellow with a strong background in applied economics or finance who is eager to collaborate with engineers, climate scientists, economists, and
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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Postdoctoral Associate – Radiation-induced tissue injury and regeneration The Lee lab in the Department of Radiation Oncology at Duke University is seeking a highly motivated and independent scientist for a full
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post-doctoral scientist to work on the transmission of malaria parasites between hosts. The candidate will join an existing team at Duke, Johns Hopkins, Moi University, KEMRI-Welcome Trust Research