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in-situ monitoring data, ex-situ characterization data and failure data from aggressive loading of AM samples. The activities will span across exploratory data analysis, mathematical model building
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professionals, and trainees across institutions to design, coordinate, and implement federally funded population health and outcomes research using real-world data (RWD), including electronic health records (EHRs
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function of urban blue spaces influence perceptions. It will subsequently explore and evaluate the types of information and knowledge required to improve the understanding and appreciation of urban blue
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group as part of the diverse and international Nordcee section at the department, and will work closely together with associates from all RECLESS institutions. For more information about the position
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expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base of manufacturing research. The Through-life Engineering Services (TES) Centre
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) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
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measurements, including raw data processing and postprocessing. The data will contribute to one or two scientific articles. Work duties Research within the subject area Contributing to publishing results in high
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for operational decision‑making, interactive design, or control‑in‑the‑loop visualisation. Machine‑learning surrogates offer speed, yet purely data‑driven models often extrapolate poorly and may violate physical
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for a research degree . In your EOI, nominate Dr Katharina Esau as your proposed principal supervisor, and copy the link to this scholarship website into question 2 of the financial details section
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CFD predictions with quantum gas LiDAR measurements, using simulated and experimental data to relate observed concentration fields to underlying emission sources. This will include the development