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automated finite element and inverse-identification workflows that learn constitutive parameters from a single informative test through Bayesian optimization, together with quantification of measurement
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. Additional information about AGAGE and CS3 is available at https://agage.mit.edu and https://cs3.mit.edu. REQUIRED : Ph.D. in a relevant discipline; proficiency in scientific programming; and
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as quantile g-computation, Bayesian kernel machine regression, weighted quantile sum regression, or related approaches. 4. Experience with time-to-event analyses of health outcomes. 5. Knowledge of
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and how circuit structure supports computation. Will lead research on one or more of the following areas: Automated proofreading & annotation at scale: Machine learning approaches for error detection
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mechanisms, and ozone depletion and radiative forcing by these gases. Additional information about AGAGE and CS3 is available at https://agage.mit.edu and https://cs3.mit.edu . REQUIRED : Ph.D. in a relevant
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enabled hearing, as described in this pre-print: https://www.biorxiv.org/content/10.1101/2025.07.16.665227v2 The full job description is available here: https://www.dropbox.com/scl/fi
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details visit our website: https://impactclimate.mit.edu/ Candidates must have completed a Ph.D. in a relevant field by the start of the fellowship, should be passionate and informed about climate
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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are
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and benefits-eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post-PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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& transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race