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in AI/ML models applicable for catalyst development, such as predictive and generative modeling, and image analysis. Stipend: The selected participant will receive a monthly stipend commensurate with
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approaches for processing biomechanical data collected using wearables from patients with limb amputations See an early-stage project from initiation to analysis to knowledge product generation in a short
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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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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
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models at multiple scales are usually developed and combined into a single multi-scale/multi-physics model. With this process, analysis and optimization are possible. Computational analysis and design of