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predict failures before they occur: a key enabler for safer, more efficient, and lower-carbon industrial operations. The PhD will be conducted at fluiidd (La Ciotat, France) in close collaboration with CEA
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, or commit to acquiring within no more than one year, an adequate command of both official languages of Catalonia. Advanced level of English. Advanced level in office software (Excel, Word, PowerPoint, etc
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to generate baseline datasets for calibrating and validating predictive models of biodiversity-rich forests. Using machine learning (ML) algorithms, the Research Assistant will help predict the occurrence
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, including renewable energy sources and energy storage systems.Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy infrastructure (e.g
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Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research group is
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Familiarity with cleaning and managing large datasets. Strong writing skills. Preferred Qualifications Statistical skills applying artificial intelligence and data science for societal benefit in predictive
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of Dr. Marios Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London
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the ESRC project Generations of London English: Dialect and Social Change in Real Time. Project website: https://generationsoflondonenglish.org/ Led by Principal Investigator Professor Devyani Sharma
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, creating predictive models for failure control. Validation & Experimental Collaboration: Compare simulations with experiments, collaborate on proof-of-concept testing, and refine models based on results
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vivo porcine tissues subjected to controlled enzymatic degradation (collagenase, elastase) will be used as a reproducible experimental proxy. While this approach does not reproduce the full endocrine