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a possible extension for one more year. The starting date is November or December 2025. This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological
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of Stavanger (UoS). The position is funded within the project “SURF: “Subsurface Understanding for Robust emissions Forecasting”. SURF is funded by the Research Council of Norway and industry partners. We
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methods to evaluate the UFS ‘s ability to predict extreme events. The purpose of the project is to evaluate the biases and skill of the sub-seasonal to seasonal forecasts generated with the UFS prototypes
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forecasting. Excellent organizational and project management skills. Excellent communication skills, both oral and written. Comfortable working independently and in team settings. APPLICATIONS Please submit a
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Forecasting system developed by CSIRO. Along with a $42,000 p.a. scholarship for three and a half years, the student will have the opportunity to undertake a funded 60-day industry placement with one of our
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, droughts, heatwaves, …). Knowledge of uncertainty quantification and probabilistic forecasting. Familiarity with sectors such as water resources systems, disaster risk mapping, agriculture, water-dependent
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forecasting. Build data fusion pipelines (e.g., combining model outputs with imagery, weather, soil, and management data) to deliver prescriptive BMPs for nutrient and water management, planting decisions, and
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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landslide and rockfall forecasting: the lack of physically grounded, early precursors of failure. The core hypothesis is that macroscopic slope collapse is preceded by changes in local deformation, expressed
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interactions. This involves (i) developing predictive machine learning models that forecast user actions and remote system responses across audio, video and haptic modalities, and (ii) jointly orchestrating