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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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in existence. You contribute to the scientific dissemination of results within the research group and through articles. Where to apply Website https://www.u-bordeaux.fr/universite/travailler-a-l
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Want to combine your programming skills with pioneering research in Human-Robot Interaction? Join our multidisciplinary research team and gain practical experience developing software for robotic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
by the diverse social, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit Our mission is to improve the health and well-being
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translational, combining molecular analysis of human biological samples from clinically characterized cohorts with the possibility of integrating extracellular-vesicle profiling, non-coding RNA analysis and other
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possibilities, together let’s leave something for the future! At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster
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Postdoctoral Fellow positions as part of the NSF AI Institute for Human-AI Cooperation (NSF HAIC) (https://haicinstitute.org/), a $21.5 million multi-institutional research initiative across the University
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are seeking to recruit a junior researcher for the UOC-eHealth Center - Research Center for Human and Planetary Health, in the NeuroADaS Lab research group at the UOC. The purpose of the project From Magnetic
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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settings with limited data and transfer learning across species from human to mouse, and beyond. • Apply explainability methods to extract biological insight from trained models. • Keep up to date with