82 data-"https:" "https:" "Mines Paris PSL" Postdoctoral positions at Duke University
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shoreline project and in analyzing data, to assess nursery habitat provisioning, augmented secondary production of valuable fishes and crustaceans, water quality improvements, shoreline protection, and carbon
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information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration
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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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complex data, and contribute to the preparation of grant proposals, progress reports, and peer-reviewed publications. In addition to the research responsibilities, the Postdoctoral Researcher will actively
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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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Health Sciences. The position will be focused primarily on analyzing data from projects related to emergency medical services, focused on stroke care, and climate change implementation science. This role
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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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latent class models. Additional Information: The postdoc position is full-time with a competitive salary that includes excellent fringe benefits. The appointment is for a minimum of one year, with renewals
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Performed Research Development (70%) - Designing robust, rigorous, and reproducible experiments - Carefully documenting labwork and results using electronic lab notebooks - Executing experimental designs Data
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Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists to utilize EBV and HIV-1 infection data together with multiscale ABM