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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
with advanced statistical techniques (optimal Bayesian, Markov Chain-Monte Carlo, etc.) to solve the forward and inverse problems involved. Additional information about AGAGE, CS3, and MIT atmospheric chemistry
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. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data. There is substantial freedom
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variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data. There is substantial
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11 Mar 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions
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Kansas. The ideal candidate would have strong technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated
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. The PDRA will quantify the differences in calculated and measured experimental conditions by adapting the Geodetic Bayesian Inversion Software ( https://doi.org/10.1029/2018GC007585) ). Working alongside our
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
models to approximate posterior parameter distributions and guide efficient exploration of inversion problems. Beyond workflow acceleration, we envision constructing an ISSM-specialized geospatial
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21 Feb 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Geosciences Researcher Profile Established Researcher (R3) Application Deadline 24 Apr 2026
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Job description: At the University of Vienna more than 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around
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aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and we use inverse modelling techniques to determine sources of greenhouse gases, radionuclides