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environmental and social impacts; 2) enhance the integrity and efficiency of the FPL’s research efforts through the development, evaluation, and application of modern statistical methods; and 3) provide life
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. Qualifications The qualified candidate will have completed a PhD from an accredited institution in bioengineering, biomedical engineering, immunology, cell / molecular biology, physiology, or a related field
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reduction techniques and numerical methods for subsurface and surface flow processes. You will gain experience with forward hydrodynamic models developed in the Coastal Hydraulics Laboratory and contribute
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. Qualifications The qualified candidate should hold or be currently pursuing a master's degree or PhD in Mechanical Engineering, Biomedical Engineering, or a related discipline. Postgraduates must have earned
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one another; and delivering world-class science, technology and land management. Research Project: The fellow will contribute their PhD-level social science research skills to understand how project
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of federal land managers, have a few different way of modeling complex restoration treatments in the software. However there is not much guidance on which is most accurate, or how examples of calibrating
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sciences, Geology, or closely related field). Degree must have been received within the past four years. Preferred skills: Experience with Microsoft Office products. Experience using geospatial software
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. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Collaborate with team to improve standardization, utility, and public health potential
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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
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to both Tribes and a wide range of end-users. The first project will focus on identifying climate data needs in the region using literature reviews, engagement with our audience, and other research methods