41 parallel-computing-numerical-methods Postdoctoral research jobs at Cornell University in United States
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are set at the NIH rate. Anticipated Division of Time Research: 95%: The successful postdoc will apply various methods including but not limited to cell culture, gene interference, mass spectrometry
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developmental perspectives linking psychological factors to health. Cutting-edge quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent
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health, and human rights. The postdoctoral program is designed to provide support through collaborations with faculty and to assist new scholars in launching their own programs of research. Postdoctoral
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through transdisciplinary research, teaching, and outreach. We integrate analog and digital knowledge, tools, methods and creative processes from design, humanities, social sciences, and physical sciences
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proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.). Excellent quantitative, technical, analytic, and applied research skills are required. Excellent written and
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by furthering scholarship and research in areas related to poverty alleviation, support for the elderly and disadvantaged children and youth, public health, and human rights. The postdoctoral program
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estimating equations, Cox proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.) 3. Excellent quantitative, technical, analytic, and applied research
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% Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of
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% Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of
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program in the areas of computational mechanics and/or heat and mass transfer related to manufacturing. Modeling work can be mechanistic, data-driven or hybrid, and novel applications would be welcome