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Field
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
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USNH Employees should apply within Workday through the Jobs Hub app The research position is within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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effectively in an interdisciplinary team. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Interpersonal skills, oral and written communication skills, and ability
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physiological evaluation of identified genes in inner ears in mouse models of human genetic deafness. Conducting functional characterization in animal models and organoids/iPSCs of proteins encoded by human
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of his/her scientific mentor to investigate the molecular and circuit mechanism of epilepsy in mouse models; independently designs new analytical approaches and tools; performs experiments; independently
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Community Velocity Models, quantify model uncertainties, integrate non-tomographic constraints on crustal structure, and identify key observational gaps by comparing synthetic waveforms to recordings from
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complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop predictive models
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Internal Number: JR90686 Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive
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generalizations. Trait-based modeling is a promising approach to deal with this complexity and define relationships between quantifiable traits and the distribution and abundance of species. We are combining field