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potential. THE ROLE You will be working in a multicultural and multi-disciplinary group, where junior and senior scientists collaborate, each with their expertise, to carry out a scientific activity with a
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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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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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; (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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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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in R or Python Desired - evidence of strong computational skills and large dataset analysis - experience with hierarchical Bayesian modeling - expert knowledge of plant functional ecology - fluency in
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Infrastructure? No Offer Description - work environment: This position is part of a nationally funded research project focused on the early detection of neurodegenerative diseases through the analysis of protein
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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