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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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positions at UCD working closely with industry partners, specifically LaNua Medical (https://www.lanuamedical.com/ ) and Integer Holdings Corporation (https://www.integer.net/ ). The project focuses on LaNua
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—these approaches can recover unmeasured near-wall structures, improve subgrid-scale modelling, and enhance predictive accuracy. Possible project directions include: 1. Reconstructing near-wall velocity fields from
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the consistency of predicted deformations with earthquake focal mechanisms. The first part of the project involves using numerical mechanical models to calculate crustal stresses arising from four main
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of the North American Ice Sheet Complex forebulge. The candidate will calculate misfit values between the statistically modeled RSL and glacial isostatic adjustment (GIA) model predictions of RSL to identify
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
projects are the analysis of gene expression patterns in malignant human tumor samples mostly coming from clinical trials and preclinical model systems, and on the continued development of genomic-based
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between the University of Plymouth and Cornwall Partnership NHS Foundation Trust, starting in May 2026. About the role The purpose of the role is to develop and apply mathematical models and computational
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CRSA - Postdoctoral research fellowship: “Developing Advanced Weather Prediction Models for Agricultural
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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using Tableau Commitment to improving data quality and documentation Key Responsibilities: Data visualization and analysis (40%) Visualize data, create metrics, and develop analytical models (predictive