RSS feed source: National Science Foundation

Synopsis

The Cognitive Neuroscience (CogNeuro) program seeks to fund proposals that can advance our understanding of the neural mechanisms underlying human cognition and behavior. Funded proposals typically relate precise and rich quantifications of physiological responses and behavior in ways that advance theory (Intellectual Merit). Funded proposal also typically strengthen the field through, for example, outreach, mentoring the next generation of diverse cognitive neuroscientists, and/or increasing awareness and utilization of the research the field produces (Broader Impacts).

Intellectual Merit

In general, successful proposals provide a theoretical motivation and consist of a series of experiments/analyses that test the differential predictions of that theory; they go beyond quantifying physiology during certain tasks and behaviors. Research topics considered for funding include but are not limited to: perception, recognition, categorization, implicit and explicit memory, working memory, attention, language, decision-making, and social reasoning. Commensurate with the inherently multidisciplinary nature of

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RSS feed source: National Science Foundation

On July 10, 2025, NSF issued an Important Notice providing updates to the agency’s research security policies, including a research security training requirement, Malign Foreign Talent Recruitment Program annual certification requirement, prohibition on Confucius institutes and an updated FFDR reporting and submission timeline.

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RSS feed source: National Science Foundation

On July 10, 2025, NSF issued an Important Notice providing updates to the agency’s research security policies, including a research security training requirement, Malign Foreign Talent Recruitment Program annual certification requirement, prohibition on Confucius institutes and an updated FFDR reporting and submission timeline.

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

Job ID: 259762

Coord, Engineering Research Data & AI Development
Auburn University Job Summary

The Coordinator, Research Data and AI Development plays a pivotal role in advancing the research capabilities of the College of Engineering by developing and implementing Artificial Intelligence (AI)-driven tools and datacentric solutions. This position supports strategic decision-making and fosters innovation, ensuring the College keeps pace with the rapid, exponential growth of its research enterprise. In collaboration with faculty, researchers, and leadership, the Coordinator leads efforts to design, optimize, and deploy cutting-edge AI applications that enhance research methodologies, streamline data management, and provide actionable insights for institutional advancement. The role involves overseeing data strategy, maintaining robust research infrastructure, and ensuring compliance with best practices in AI and data governance.

Essential Functions Development and Coordination of AI-Driven Research Tools: Designs,

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