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RAP opportunity at National Institute of Standards and Technology NIST Modeling Complex Microstructures Location Information Technology Laboratory, Applied and Computational Mathematics Division
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NOBM using prognostic fluxes predicted by the GISS climate model in order to characterize the dust pathways, the timing and magnitude of dust-iron deposition events, the regional and temporal variations
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relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
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. The lack of knowledge is related to the models that should be used to auralize UAM in urban environments: new models are needed to predict noise exposure in urban cities. Traditional aircraft noise studies
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teams. Unit URL https://imci.uidaho.edu/ Position Qualifications Required Experience Experience with statistical or predictive modeling as demonstrated by publications in the field Evidence of strong
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 1 day ago
these datasets, build models of carbon stock dynamics in ecosystems. Your work will contribute specifically to objective (2), focusing on quantitative IR spectroscopy. Over the past thirty years, many research
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- Process data and develop predictive chemometric models - Prepare manuscripts, reports, and presentations for dissemination of findings within the scientific community. - Evaluate the obtained results and
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physics-informed machine-learning models for binding affinity predictions in rational small-molecule drug design. The models will allow prioritisation of candidates from hit discovery through to lead
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Code 0005 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job This appointment will be to continue work on the RER genomic assay. Evaluate the predictive models developed
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experimentally, followed by further model improvements, and implementation or design of a robust workflow and predictive design tool. Where to apply Website https://www.academictransfer.com/en/jobs/359149/engd