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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g., high performance
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for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency
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to contribute to the exciting new area of Differential and Probabilistic Programming? As a PhD candidate in the ERC project FoRECAST, you’ll work independently and in a collaborative, diverse team. This is a
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sensing, IoT sensors, and climate models. Design and implement deep learning models for forecasting extreme weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches
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, energy systems optimisation, techno-economic forecasting, or agent-based modelling proficiency in scientific programming (preferably Julia, Python, or MATLAB) competence in data analysis and probabilistic
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energy transition. This role focuses on the development and application of advanced forecasting and scenario analysis methods within in-house grid modelling platform to inform the design of Australia’s
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manner both verbally and in writing. Ability to present probabilistic and deterministic forecast information to a broad audience. Skills in forecast/scientific graphical representation and writing
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learning-based post-processing methods for quantitative precipitation forecasting (QPF) as well as forecasting other relevant variables, e.g., temperature, integrated water vapor transport (IVT
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machine learning frameworks such as recurrent neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection
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neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection. Comparison with known analytic methods and