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Field
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the preparation of a doctorate, contains: Hydrogeologists use numerical groundwater flow models for predicting impacts of climate change and pumping on groundwater and understanding and quantifying groundwater
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limitations in both measurement and modelling techniques. Current in-process measurement methods are restricted to surface-only monitoring devices (e.g., cameras and pyrometers), which fail to capture
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for maritime navigation, environmental risk management, and understanding climate interactions in polar regions, particularly in the Arctic. Current forecasting systems, which rely on physical models and data
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continuum within the 2nd phase of CLICCS (https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System
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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and
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and supportive Laboratory of Organic Electronics (https://www.liu.se/loe ). LOE currently has >150 researchers and research students across thirteen group sharing an open lab environment for fruitful
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. Objectives: Characterize the hydrodynamics of the gas phase in bioreactors at different scales (20Là15m3) CFD simulation of gas/liquid flow using the Eulerian approach (two-fluid model) Comparison between
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics