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Boromi to start in October 2026. Playful parent-child interactions and child-led exploration in the early years is fundamental to learning, and predictive of diverse positive child outcomes. Barriers
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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 at the South
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assessment through fundamental and applied innovative research, teaching, and training in mechanistic and predictive toxicology and exposure assessment. As a research technician you will contribute
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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area Proven experience of semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS, OWL Proven experience with predictive and generative AI Practical experience in using
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documentation. Integrate BIM (Building Information Modeling) technologies to track and visualize building infrastructure. Ensure data accuracy and interoperability across multiple platforms, including GIS, CAFM
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to real institutional challenges. Strengthen ability to design a full analytics workflow, from question to model to insight. Gain experience communicating findings to nontechnical audiences. Learn to manage
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. This project requires high-end skills in Geospatial Engineering & Technology including GeoAI, Geospatial Model Building, Remote Sensing Data Analyses, Advanced Image Processing, Data and Image Mining along with
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models. The candidate will be jointly supervised by Dr. Iris Groen (www.irisgroen.com ) and Prof. Cees Snoek (https://www.ceessnoek.info/ ). Want to know more about our organisation? Read more about
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cirrus clouds in the UTLS, for which Lagrangian modelling is a valuable tool to revealing the source of UTLS aerosols, the origin of water masses, and formation processes of cirrus particles. Your key