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Field
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aerosol properties from satellite observations using advanced inversion algorithms (such as the GRASP retrieval framework: https://www.grasp-earth.com/ ). Website for additional job details https
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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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laboratories for chemistry, materials, biology, etc. AI/ML for predictive modeling and inverse design Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and
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18 Jul 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Geosciences Researcher Profile Established Researcher (R3) Application Deadline 15 Aug 2026
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, optimization and inverse problems, computational aspects of stochastic (partial) differential equations, randomized numerical algorithms, structure-aware and structure-preserving numerical methods for continuum
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Source and conduct new experiments at these facilities. Collaborate with AI/ML researchers to incorporate forward models into inverse modeling, uncertainty quantification, autonomous analysis, and
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phenomena. These models will be combined with reduced-order techniques to enable efficient simulation and optimisation of shape transformations. A key objective is to address inverse design problems under
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Curie Grant Agreement Number 101311389 Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim of this project is developing inverse modelling and optimization
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parameters that determine energy fluxes and permafrost dynamics using inverse problems techniques. The developed algorithms and methods will be integrated into the LPJmL Dynamic Global Vegetation Model. Close
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a highly motivated and interdisciplinary Research Fellow to