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will inform provincial guidelines and extension programmes, enabling scale-up beyond pilot sites. By embedding predictive modelling, antimicrobial surface strategies, and processing standardization
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and numerical models that predict material deformation, force transmission to cells and the resulting changes in cellular mechanics and signalling. The position is primarily computational, but a
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curated pharmaceutical science and public health databases that can be used for modeling purposes. Information about Dr. Zhu’s research and recent publications can be found on his lab website: https
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, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection
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-assisted modelling, drift detection and basic self-learning behaviour with operator guidance. The aim is not to build a full system but to establish whether predictive insight, early warnings and actionable
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Sciences Location Bloomington Position Summary Position Overview The Postdoctoral Researcher will join an NSF-funded project developing and testing computational models of how decisions evolve over time. The
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
to develop predictive fitness functions. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10525 Requirements Skills/Qualifications Technical skills and level required
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calibration between Olink and SomaScan Annotation of organ-enriched proteins using GTEx and other public biological resources Development of organ-age prediction models using LASSO, Elastic Net, gradient
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Maritime Ltd and the University of Southampton. Find out more about Knowledge Transfer Partnerships here: https://www.ktp-uk.org/ Compute Maritime Ltd is a London-based deep-tech company bringing
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the skeleton. In our group we have developed Subject Specific Computed Tomography (CT)-based Finite Element (FE) models (CT-SSFE) to predict the bone strength in metastatic vertebrae, showing