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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 12 days ago
will work Christopher Knittel (Sloan School of Management and CEEPR). The project will develop empirical models of supply, demand, and international trade conditions for minerals required for the energy
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running automated models to support analysis and decision-making. Working within an established technical environment, the Data Scientist helps improve existing models and supports the development and
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primary expertise is in latent growth modeling, SEM, or psychometrics may not be the best fit. Special Instructions to Applicants: To apply, please visit https://jobs.ufl.edu and reference requisition
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. Conduct spatial distribution analysis of tribal and private lands and validate grid compatibility with existing data products. 30% Fit and evaluate statistical models to assess cannabis density patterns
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational
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: You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year`s) FLEXIBILITY: Flexible working time models, including options close to full-time ( https://go.fzj.de
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multimodal generative AI for music/audio. Check out some of our recent projects here: https://dorienherremans.com/biblio (including work on models like Mustango, SonicMaster and other generative systems
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of Researchers (Charter and Code). Please, check out our Recruitment Policy . The role We are looking for a postdoctoral researcher to join the “Evolutionary Processes Modeling” group. The selected candidate will
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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original
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, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of