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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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. The PACE lab uses basic neuroscience approaches, preclinical models, and behavioral pharmacology to develop new drugs for the treatment of traumatic stress related disorders. The lab focuses on projects
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multi-drug resistant organisms and fungi. This fellowship appointment will provide you with an opportunity to significantly contribute to ongoing efforts involving in vivo animal models of wound infection
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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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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modeling, while fostering independent research skills and innovation in the application of advanced analytical approaches. As the selected participant, you may engage in projects that explore both population
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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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animal models. The work will include: Biochemical Analyses: Investigating molecular pathways and biomarkers. Cell Culture and Imaging: Utilizing cell and tissue imaging techniques to study mechanisms
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to employ innovative bioinformatics approaches to dissect in both human-relevant models of lung cancer as well as unique cohorts of human lung tissues the tumor "ecosystem" and profile in-depth phenotypic and
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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