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Field
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researchers engaged in a Defense Health Agency project on spatial orientation modeling and disorientation mitigation. The research fellow will participate in generating a report for the Spatial Orientation
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regression models using Stata or R. Collecting, managing, and structuring quantitative datasets Conceptualization of suitable empirical methodologies and models Statistical analyses of complex datasets and
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researcher with a strong background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group
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assimilation, and machine learning frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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resistance, utilizing human and murine cells, orthotopic models, and Genetically Engineered Mouse Models (GEMMs). We are seeking a motivated and hard-working scientist with strong project leadership and
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the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required to design and perform experiments
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learning, and data science, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models
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quantum photonics Collaborate with faculty and research staff on the development of theoretical models, experimental design, and data interpretation Prepare and publish high-quality scientific papers and
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aspects of predictive modeling. A Ph.D. in bioinformatics, genetics, statistics, computer science, or a comparably quantitative discipline (e.g., mathematics, physics), or comparable research experience