29 phd-mathematical-modelling-ecological-modelling Fellowship positions at Zintellect
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of innovative technology solutions. Assignments will require technical and economic research involving data analysis, regulatory analysis, and modeling. You will learn by assisting with producing this research
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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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related orthopaedic trauma. In particular, contemporary cell / molecular biology in vitro approaches as well as clinically relevant small and large animal models of orthopaedic trauma are utilized
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internationally known, unique facilities. This team has developed state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water
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modeling, experimental testing, and validation. AFIT is pursing cutting edge research in these areas with a variety of academic, government, and national laboratory partners. Appointment activities may
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in several areas. These include, but are not limited to: Literature reviews and logic model development related to primary prevention of sexual assault, harassment, suicide, domestic abuse, and child
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Survey staff. With guidance, specific activities may include, but are not limited to: Conducting research on climate change and invasive species, including ecological or social science research. Engaging
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by: working in collaboration with communities and our partners; providing access to resources and experiences that promote economic, ecological, and social vitality; connecting people to the land and
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that are ecologically sustainable while maintaining producer profitability. The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief scientific in-house research agency with a mission to find
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(MPH, MS, PhD). Highly competitive applicants will have experience or skills in the following: U.S. Citizenship is required, must be able to pass a background investigation. SAS 9.4 experience is desired