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Postdoctoral Scholars – Multi-Disciplinary (2025)

Published: 17 July 2025
Categories: Eng Jobs Academic Keys

RSS Feed Source: Academic Keys

Job ID: 259919

Postdoctoral Scholars – Multi-Disciplinary (2025)
University of California, San Diego

The Office of Research Affairs, at the University of California, San Diego, in support of the campus, multidisciplinary Organized Research Units (ORUs) https://research.ucsd.edu/ORU/index.html is conducting an open search for Postdoctoral Scholars in various academic disciplines. The University of California employs about 6,000 postdoctoral scholars (approx. 1,200 at UCSD) who contribute to the academic community by enhancing the research and education programs of the university.

The postdoctoral experience emphasizes scholarship and continued research training. UC’s postdoctoral scholars bring expertise and creativity that enrich the research environment for all members of the UC community, including graduate and undergraduate students. Postdocs are often expected to complete research objectives, publishing results, and may support and/or contribute expertise to writing grant applications. Appointment durations vary depending

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FEMA Authorizes Funds to Fight Utah’s Monroe Fire

Published: 17 July 2025
Categories: FEMA News

RSS Feed Source: Academic Keys

DENVER – This afternoon FEMA authorized the use of federal funds to help with firefighting costs for the Monroe Fire burning in Sevier County, Utah. The fire started July 13, 2025 and is 0-percent contained.  

Acting FEMA Region 8 Administrator Katherine Fox approved the state’s request for a federal Fire Management Assistance Grant (FMAG) this afternoon after determining the fire threatened such destruction that it would constitute a major disaster.

At the time of the request, the fire had burned 8000 acres and was threatening critical infrastructure including essential communications as well as the local watershed. There are also several other large fires burning uncontrolled within the state of Utah and fire weather conditions remain a concern. 

The authorization makes FEMA funding available to pay 75 percent of the state’s eligible firefighting costs under an approved grant for managing, mitigating and controlling designated fires. These grants do not provide assistance to individual home or business owners and do not cover other infrastructure damage caused by the fire.

Fire Management Assistance Grants are provided through the President’s Disaster Relief Fund and are made available by FEMA to assist in fighting fires that threaten to cause a major disaster. Eligible items can include expenses for field camps; equipment use, repair and replacement; mobilization and demobilization activities; and tools, materials and supplies. 

For more information on FMAGs, visit  https://www.fema.gov/fire-management-assistance-grants-program-details.

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New AI model could revolutionize U.S manufacturing

Published: 17 July 2025
Categories: National Science Foundation

RSS Feed Source: Academic Keys

Artificial intelligence has transformed fields like medicine and finance, but it hasn’t gained much traction in manufacturing. Factories present a different challenge for AI: They are structured, fast-paced environments that rely on precision and critical timing. Success requires more than powerful algorithms; it demands deep, real-time understanding of complex systems, equipment and workflow. A new AI model designed specifically for manufacturing, seeks to address this challenge and revolutionize how factories operate.

With support from the U.S. National Science Foundation, a team led by California State University Northridge’s Autonomy Research Center for STEAHM has developed MaVila — short for Manufacturing, Vision and Language — an intelligent assistant that combines image analysis and natural language processing to help manufacturers detect problems, suggest improvements and communicate with machines in real time. Their goal is to create smarter, more adaptive manufacturing systems that can better support one of the most important sectors of the U.S. economy.

MaVila takes a different approach. Instead of relying on outside data, like information on the internet, it is trained with manufacturing-specific knowledge from the start. It learns directly from visual and language-based data in factory settings. The tool can “see” and “talk” — analyzing images of parts, describing defects in plain language, suggesting fixes and even communicating with machines to carry out automatic adjustments.

MaVila was trained using a specialized approach that required

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