17 machine-learning-postdoc-"https:" "Naturalis" Fellowship positions at Cornell University
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Cornell University, Electrical and Computer Engineering Position ID: Cornell-ECE-POSTDOC [#31375] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14853
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across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity
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, and the ability to read related scientific papers on cancer combination therapy. It would also require expertise in relevant AI methodology, such as deep learning architectures for property prediction
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teach one course per semester. These courses will be small innovative seminars of their design or a section of Science, Technology, and Governance in the geographical region of their specialty. We imagine
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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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, United States of America [map ] Subject Area: Computer Science / Artificial intelligence and machine learning Appl Deadline: 2025/11/20 11:59PM (posted 2025/10/23) Position Description: Apply Position Description
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/ Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social
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of the programs is to advance foundational and applied research in contemporary artificial intelligence (AI) and machine learning (ML), as well as AI-enabled science. Specifically, our goals are to pioneer cutting
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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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, job #31362: https://academicjobsonline.org/ajo/jobs/31362 1) cover letter 2) curriculum vita 3) statement proposing an individual research project (2 pp) 4) brief descriptions of two undergraduate