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, formal verification, proof assistants, automated proof search, and AI-guided mathematical discovery; neural operators, physics-informed learning, inverse problems, uncertainty quantification, and rigorous
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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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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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Sign In Create Profile Postdoctoral Research Associate, Lunar and Planetary Laboratory (Remote) United States | req26685 Apply Now Share Save Job Posted on: 8/19/2026 Back to Search Postdoctoral
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-informed learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant
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Sign In Create Profile Geophysicist (Research Scientist) (Arizona Geological Survey) Tucson, AZ, United States | req26943 Apply Now Share Save Job Posted on: 9/2/2026 Back to Search Geophysicist
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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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: Christopher T. Rentsch, PhD, FISPE, [email protected] Website: https://medicine.yale.edu/internal-medicine/vacs/ Introduction to the Research Group The Veterans Aging Cohort Study (VACS) has been
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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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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