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variablemodels), efficient inference methods(e.g. sampling methods), uncertainty quantification, calibration, and probabilistic forecasting, as well as the interdisciplinary application of these methods
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Iventa Austria Personalwerbung GmbH | Graz 12 Bez Andritz, Steiermark | Austria | about 2 months ago
Category: A1 Employment Start: October 2027 Duration of Contract: Permanent employment Job Description The professorship focuseson the methodological foundations and applications of probabilistic machine
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datasets and an evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You
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. In this way, flood impacts can also be described probabilistically and later added to the model of Pillar 1; Translating the current scenario sets into future climate states (using climate scenario as
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defences, and account for uncertainty in breach growth. In this way, flood impacts can also be described probabilistically and later added to the model of Pillar 1; Translating the current scenario sets
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Weather and climate prediction are undergoing a profound transformation. Alongside traditional physics-based forecast systems, machine-learned (ML) weather prediction models, hybrid ML-physics
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probabilistic forecasts of the West Antarctic Ice Sheet’s contribution to future sea level rise – information of enormous societal and economic value for coastal planning and climate adaptation worldwide. Your
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project aims to provide reliable probabilistic forecasts of the West Antarctic Ice Sheet’s contribution to future sea level rise – information of enormous societal and economic value for coastal planning
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- and long-term forecasting. Design hybrid AI architectures and optimize them using advanced techniques such as attention mechanisms and evolutionary algorithms. Implement probabilistic and explainable AI
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, forecast, and crowd-sourced station data into probabilistic maps. The challenge: conditioning generative models on large, heterogeneous, incomplete data will require the student to work on cutting-edge ML