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modeling and probabilistic machine learning, tackling problems that arise in molecular systems and heterogeneous materials. Eine Postdoktorandenstelle im Bereich physik-informiertes generatives Modellieren
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forecasting and predictive modelling Biodiversity change in human-modified landscapes The specific research focus is open to development together with the successful candidate, and may connect with ongoing work
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Experience in one or more of the following areas: object detection and segmentation, multi-object tracking, time-series analysis, probabilistic modeling and uncertainty quantification, real-time or streaming
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; sectoral and policy analysis using agricultural market models (e.g., AGMEMOD, CAPRI) to assess climate and CAP-related policies; economic policy assessment and forecasting using CGE and related modelling
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learning, safety-critical control, probabilistic modeling, verification, or optimization; Excellent communication skills in English and the ability to work both independently and collaboratively in