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longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working
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. Collaborate with an international network of experts in fields ranging from dentistry and genetics to anthropology and public health. Learn transferrable skills to become a successful PI Ideal Candidates
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: (1) Conducting high fidelity CFD simulations of combustion, heat transfer, chemical reactions, and phase change phenomena in industrial processes using commercial software. (2) Optimizing existing in
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signature preservation. A PhD in geology, planetary science, or a closely related field is required. Experience in reflectance, emission, or FTIR spectroscopy is preferred. The position is available
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University, the Smithsonian Institute, University of Texas, El Paso, and the USDA Forest Services. A PhD in ecology, forestry, or biology is required with expertise in mycorrhizal ecology, forest ecology
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
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management. To qualify for the position, a candidate must have completed a PhD by the time of employment, and the degree may be in sociology, psychology, political science, or related areas. Demonstrated
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completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Korean and English are required, and
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completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Japanese and English are required, and
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-organized individuals with strong quantitative skills to work on funded disciplinary and interdisciplinary projects and assist development of additional funded programs. A PhD in a discipline appropriate to