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to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
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preparation, mesh generation, solver execution, and post-processing. Validate CFD predictions against experimental wind-tunnel measurements and establish best-practice guidelines for turbulence modelling and
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: www.zhulab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new environmental pollutants, nanoplastics, and environmental mixtures
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want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https://www.nus.edu.sg/finance/ What You Will
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‑powered system that integrates real‑time EC identification using non-target high resolution mass spectrometry (HRMS) data, toxicity prediction, and transformation product (TP) modelling into an early
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logistic regression, Poisson regression, Cox proportional hazards models, Kaplan-Meier analyses, generalised estimating equations and diagnostic prediction analyses. § Interpret findings within the context
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
. Efforts will focus on implementing predictive and analytic models of infectious disease, deploying these models in response to disease threats, and implementing accessible data displays on web-based
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for identifying genomic variant calls that may result from contamination, mapping artifacts, or other technical sources rather than true human variation. • Use GitHub for version control, issue tracking, code
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that compromise cellular viability. Proteostatic decline is not merely a consequence of aging but an early, causal event whereby loss of proteostasis precedes and predicts organismal decline, and its onset is
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frameworks to understand, predict, and control tissue-scale dynamics by integrating mechanistic and data-driven approaches across molecular, cellular, and tissue scales. Particular interest will be given