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Field
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-resolution urban air temperature maps remains an open problem. This project will treat dense urban air temperature estimation as an inverse problem, using conditional diffusion models to fuse satellite
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Scientist 51 Faculty of Physics Job vacancy starting: 01.11.2026 | Working hours: 40.00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: Job ID: 6040 Explore and teach
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research programme. Illustrative areas in which you might work include inference and discovery in large, heterogeneous or high-dimensional physics datasets, simulation-based inference, inverse problems and
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Job Description A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas Research Laboratory (CEARL) in the Electrical
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globally influential center of interdisciplinary research. We warmly welcome talented researchers conducting cutting-edge interdisciplinary research in areas including, but not limited to, inverse problem
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apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
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the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior
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methodologies, and increasing our understanding of super-emitters. The project also includes in-depth studies (e.g. using inverse modelling) on key emission sources at open-pit coal mines as prioritised by IMEO
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diseases. Familiarity with optimization theory and applications to inverse problems. Rank is dependent on the successful candidate’s qualifications. Application Instructions Application Instructions
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modeling, sensitivity and robustness analysis, Bayesian inference, inverse problems, parameter estimation, or model validation. Experience or strong interest in scientific AI/ML, including surrogate or multi