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; (2) Conduct ocean OSEs for hurricane forecasts, using weakly coupled data assimilation integrated into the coupled Hurricane Analysis and Forecast System (HAFS). The appointee will work closely with
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secondary data sources for research; use and analysis of quantitative data in concert with extensive in-depth literature reviews and related written summaries targeting AI topics; completion of human subjects
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elements in nonlinear analysis software (preferred Atena); • Documented experience in other software for nonlinear analysis of structures; the ability to use a programming environment (e.g., Python) will
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functional analysis as well as the theory and numerics of PDEs. Strong skills in math. modeling with PDEs Advanced knowledge in numerics and simulation, particularly for PDEs and especially with FEM Strong
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evaluation of the developed soft robot; analysis of performance; iterative design refinement and optimization; and final validation tests. - Dissemination and transfer initiation Dissemination of scientific
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image and regulate mood states in a closed-loop system. The study will involve healthy volunteers and patients with a history of brain injury, using cutting-edge neuroimaging methods including functional
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Concrete Sustainability Hub and lead experimental research to identify drivers of performance, durability, and scalability in LCC mixtures and alternative binders, producing high-quality data
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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. • Familiarity with geospatial data, GIS, remote sensing products, and analysis methods. • Proven ability to conduct independent research and work effectively within interdisciplinary teams. • Proficiency in
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and optimizing growth media, ideally in combination with molecular methods such as 16S amplicon sequencing or draft genome sequence analysis, is highly desirable. Project title: Gut microbiome and