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data as well as experience with data analysis software like Excel, Python, and Matlab. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment History
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to the development of discretization techniques, the implementation of efficient solvers, and the refinement of stability criteria for complex flow conditions. Research will involve both theoretical analysis and
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manuscripts, data analysis Gain knowledge and experience with advanced cell culturing skills, molecular techniques (e.g. qPCR, ELISA, confocal microscopy, multi-omic platforms) Study advanced physiological
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design and DNA sequencing and analysis Excellent organizational skills, ability to multitask, collaborate and work in a team Proficiency in technical writing, oral communication, interpersonal and
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investigation and developing software algorithms and techniques to support human or machine information interactions for the purpose of information retrieval/dissemination, analysis and/or decision making
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quantitative analysis, with experience in biosignal data collection and/or analysis recommended. Researchers having familiarity with multi-aspect data approaches are encouraged to apply, with programming skill
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research and analysis in the Army. US citizenship is required for this research opportunity. The successful candidate will assist with the development of novel nano-mechanical test methods for and
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research and analysis in the Army. The Composites and Hybrid Materials Branch of the US Army Research Laboratory is looking for an applicant in the area of polymeric materials characterization to carry out
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, topological data analysis, and machine learning to understand data relationships generated by either our simulations or from experimentally acquired neuroimaging data. Applicants should have a strong
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, technology, and analysis to enable full-spectrum operations. The opportunity available is in the Battlefield Environment Division of the Computational and Information Sciences Directorate (CISD). For further