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Field
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physical oceanography and/or environmental fluid mechanics Expertise in ocean circulation modeling Ability to independently design and generate simulations using the Regional Oceanic Modeling System (ROMS
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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technologies, digital soil mapping/pedometrics, proximal/remote sensing, and geospatial modeling. The ideal candidate will work and collaborate closely within a research team at Texas A&M AgriLife and USDA-ARS
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Researcher and Postdoctoral Researcher Positions in Computational Methods for Civil and Environmental Engineering in the field of data-driven and model-driven simulation methods for atmospheric flows, ocean
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, ICP-MS, TOC, or related analytical techniques Environmental nanotechnology Water and wastewater treatment processes Colloid and interface science Environmental fate and transport modeling Data analysis
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. Research activities may include in-situ and ex-situ ion irradiation, corrosion and environmental testing, nano-indentation, transmission and scanning electron microscopy, electron backscatter diffraction
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water quality, development of synthetic stormwater recipes through in-depth literature review and data mining, monitoring and modeling of stormwater treatment systems, investigation of maintenance and
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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sequence and to model the evolution of body size using bounded evolutionary models. 3) Biomechanical and Hydrodynamic Modeling: Apply computational fluid dynamics to test hydrodynamic hypotheses related