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the time the employment decision is made. Research expertise in machine learning (e.g., deep learning, probabilistic methods). You have independence in research, curiosity, and strong critical thinking
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for the analysis of measurement data -To determine correlation parameters for different samples and implementation of deep learning for signal analysis -To perform experimental set-up for measurements of mice with
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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Deep Phenotyping of Learning Differences The high-level
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and economic renaissance. Job Description: The Center for Safe and Secure AI Robotics is looking to hire a post-doctoral associate to carry out research in deep learning methods for robotics. Single
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. News & World Report. Guided by a bold vision for societal impact, the university advances use-inspired research and transformative collaborations that drive economic development, technological progress
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral scholar will include aiding the research of graduate students on NLP+ML projects and leading
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will have the opportunity to engage in