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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study turbulence, aero-thermo-acoustics, and
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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study
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understanding of genomic data analysis, including next-generation sequencing (NGS) data. ● A strong desire and willingness to learn new software and advanced analytical techniques as required by research
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for ongoing projects, data analysis results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: -A PhD in Biostatistics
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functional theory (DFT) or tight-binding modeling of materials, as demonstrated in application materials. NOTE: To be appointed at the Postdoctoral Researcher title, it is necessary to have the PhD in hand
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microbial ecology, particularly related to interactions among bacteria, fungi, and plants. They will take a lead role in establishing new research and leverage existing data from an ongoing experiments on a
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buildings. All required qualifications must be documented on application materials. Required Qualifications: • PhD Degree in Neurosciences • At least 2 Years of experience • Record of peer reviewed
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proposes to combine in situ and remote sensing data, radiative transfer models, and chemical and physical analytical methods to better understand the fundamental properties and the impact of mineral dust
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This position includes duties related to molecular biology, data analytics and manuscript development within a computational