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Field
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addition to advanced instrumentation, including recirculating flumes, velocity measurement systems, spectroscopic tools, and numerical modeling platforms, to test new instruments and new configurations of existing
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such as systematic literature review, study design exploration, and analysis of environmental health and exposure data related to microplastics, nanoplastics, and associated chemical contaminants
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and diabetes-related complications using large data sets from electronic medical records, health insurance claim or national surveys, and; Cost-effectiveness analysis of interventions for preventing and
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and is contingent on the availability of funds. Level of Participation: The appointment is full time. Participant Stipend: Stipend rates may vary based on numerous factors, including opportunity
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experience, numerous opportunities to interact and network with other researchers, and ultimately provide for transition into a successful independent investigator in academia or industry. All of the duties
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METHOD AND EVALUATION CRITERIA: Evaluation will be based on the curricular analysis and eventual interview, and will focus on the candidate merit according to the following: Adequacy of the field of study
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(measuring effective permeability, diffusion, and adsorption) in rock samples with nano-Darcy permeability with analytical or numerical modeling to investigate how dynamic stress-sensitivity governs macro
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., hyperspectral) and climate reanalysis data, calibrated with in situ field data, laboratory analysis, and numerical models of landscape evolution. Apply today to spearhead groundbreaking landscape evolution
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Center for Drug Evaluation and Research (CDER) | Jefferson, Arkansas | United States | about 2 months ago
design and interpretation, in-life data collection, endpoint validation, data analysis, and dissemination of results. You will also regularly present and discuss findings at internal meetings attended by
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to: Contribute to development and deployment of particle imaging systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis