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Field
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social media use and artificial intelligence. The postdoc will work with Dr. Stevie Chancellor (primary supervisor) and Dr. Kathryn Cullen on an NIMH grant-funded project. This project focuses
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collaboration with interdisciplinary teams spanning artificial intelligence, engineering, agriculture, plant and animal sciences, and cybersecurity. The scholar will also contribute to TrAC’s education and
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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advances the development and application of AI methods for quantum computing, as well as the use of quantum-inspired approaches to enhance AI systems. Artificial intelligence and quantum computing
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/2026 Position Qualification Position Summary Developing and/or applying artificial intelligence, machine learning and/or data science-based methods to address cutting-edge topics, including but not
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“drylab” techniques. Current drylab approaches focus on bioinformatics, including emerging artificial intelligence models. Current wetlab approaches focus on RNA and chromatin biology. Candidates should
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across the U.S. Gulf Coast. EGRET employs an integrated model–experiment (ModEx) approach accelerated by artificial intelligence (AI) to advance predictive understanding of how plant–microbial–soil
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Post Doctoral Scholar in AI for Geophysics/Geoscience position. This position is supported through the NSF Collaborations in Artificial Intelligence and Geosciences Program. The position is based in
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for neurovascular interventions. The successful candidate will develop and evaluate medical robotic systems with artificial intelligence capabilities for vascular navigation using catheter and guidewire technologies
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SPECIFICS Postdoctoral Scholar (Machine Learning or Artificial Intelligence in Molecular and Cellular Biology) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS