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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
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of field measurements with 3D Doppler-LIDAR and ultrasonic anemometers, high-fidelity CFD simulations, and controlled experiments. AI-supported methods for spatiotemporal prediction of microclimatic
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driven extinct. Our group uses a combination of mathematical theory and controlled, lab-based experiments to investigate how this feedback between growth and the chemical environment shapes microbial
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties
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Description of the workplace Automatic Control is an exciting and broad subject, covering both advanced mathematics and hands-on engineering. Historically, it has been instrumental in many areas