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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in the prediction and modelling of extreme flood events? Do you want to understand how
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natural and human disturbances through climate-smart forestry startegies, based on observations and predictive models. Where to apply Website https://unimol.concorsismart.it/ Requirements Additional
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transitions in and out of campus housing, accurate data reporting, and collaborative partnerships across departments. As part of our integrated residential education model, you’ll work closely with professional
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, development, and evaluation of a digital twin model for on-site, renewable-driven green hydrogen generation systems. The successful candidate will contribute to an industry-sponsored applied research project
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of the SU(N) Fermi-Hubbard model and its low-temperature phases at the microscopic level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1003
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skills are required for the job: - Computational modeling of molecular crystals. - Computational and theoretical chemistry. - Crystal structure prediction. - Familiarity with the Linux operating system
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the rapid transition from AI-driven predictions to experimental validation and workflow optimization. We are seeking an experienced Lab Manager to build, lead, and operate this new Technology & Wet Lab Unit
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other machine learning models. Generate and evaluate hydrologic hindcasts and forecasts to assess model fidelity, forecast reliability, and predictive skill across subseasonal to annual time scales
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project working to develop real-time vector-borne disease risk assessment in low resource areas. The individual will be directly responsible for the development of adaptive predictive models for nowcasting