17 pattern-recognition "https:" "CMU Portugal Program FCT" Fellowship positions at Cornell University
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: January 19, 2026 (for full consideration) Apply online at AJO: https://academicjobsonline.org/ajo/jobs/31255 The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit
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the learning needs of diverse audiences create robust simulation cases and courses based on specific learning objectives develop and refine debriefing skills for all levels of learners design and implement
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control and reinforcement learning Power system operations, planning, and electricity market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows will: Develop
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
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for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization. Applicants should submit their curriculum vitae (CV
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Introduction to African American Literature, and an upper-level course such as Black Aesthetics, Early African American Print Culture, or a course of the fellow’s own design. The Fellow will also participate in
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substantive housing law in New York State; and experience supervising or mentoring students. To Apply Please submit the following to https://academicjobsonline.org/ajo/jobs/31537 . Additional information may be
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include a mix of advanced undergraduate and graduate students, including those in Archaeology, Classics, Fiber Science and Apparel Design, Medieval Studies, and Near Eastern Studies. Eligibility
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/computer science interface (e.g., markets and mechanism design, auction design, or the study of voting mechanisms), AI & health (e.g., wearables and clinical/public-health data to support mental and physical
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market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows will: Develop, train, validate, and benchmark AI/ML models using large-scale, real-world datasets and