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Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: November 1, 2026 Group or Departmental Website: https://med.stanford.edu/s-spire.html (link is external
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members of those research teams. Unit URL https://imci.uidaho.edu/ Position Qualifications Required Experience Experience with statistical or predictive modeling as demonstrated by publications in the
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), and data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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optimization of in-situ catalyst regeneration processes. Collaborate closely with computational researchers to evaluate and validate predictive models, integrating experimental feedback to improve model
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clinically relevant predictive models. The lab also maintains extensive collaborations with experimental and computational scientists across multiple academic, industry, and government partners. Trainees
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ultimately shifts in species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species
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interim storage Predictive Analysis: Model and evaluate physical-chemical phenomena—such as diffusion, resolution, and bubble evolution, to deliver enhanced predictions of fission gas release (FGR
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Percentage of Time 20 Job Duty Digital Intervention Development (Chatbot/Tools). Support design and development of AI-driven chatbot interventions for burnout mitigation Integrate predictive model outputs
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) is an interdisciplinary, collaborative research program housed at the University of Idaho. IMCI creates an intellectual and physical environment that fosters model-based interdisciplinary research
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contribute to our modeling community as members of an interdisciplinary team of researchers working in a uniquely collaborative environment. IMCI supports an environment that advances model-based