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INESC TEC | Research Grant (AE2025-0351)

Published: 8 August 2025
Categories: Eng Jobs Academic Keys

RSS Feed Source: Academic Keys

Job ID: 260935

INESC TEC | Research Grant (AE2025-0351)
INESC TEC

Research Opportunities

Computer Science

Work description

Responsibilities under the grant:

Design a system for managing the energy consumption of GPUs for LLMs. Implement and optimize a prototype based on the initial design. Conduct experimental evaluations of the developed prototype, using a variety of models and hardware devices (e.g., various processing and storage devices).

The tasks described in this work plan require the application and development of concepts and techniques from Computer Engineering, which are typically addressed in the core curriculum of the Integrated Master’s Degree in Computer Engineering or the Master’s Degree in Computer Engineering.

Academic Qualifications

BSc Degree in Informatics Engineering Sciences.

Minimum profile required

Solid knowledge of energy monitoring and energy control systems (i.e.,

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FEMA Individual Assistance Application Deadline Extended to August 26

Published: 7 August 2025
Categories: FEMA News

RSS Feed Source: Academic Keys

ST. LOUIS – FEMA has extended the Individual Assistance application deadline to Tuesday, August 26 for homeowners and renters affected by the May 16 disaster in St. Louis City, St. Louis County and Scott County.

If your home or personal property sustained damage not covered by insurance, FEMA may be able to provide money to help you pay for home repairs, a temporary place to live and essential personal property that was destroyed.

The fastest way to apply for Individual Assistance is at DisasterAssistance.gov. You may also apply by calling FEMA at 1-800-621-3362 or visiting a Disaster Recovery Center.

Visit a Disaster Recovery CenterLOCATIONSHOURS OF OPERATIONUnion Tabernacle M.B. Church
626 N. Newstead Ave.
St. Louis, MO 63108Monday-Friday: 8 a.m.-7 p.m.
Saturday: 9 a.m.-4 p.m. 
Sunday: Closed

Open until further notice.

Urban League Entrepreneurship and 
Women’s Business Center 
4401 Natural Bridge Ave.
St. Louis, MO 63115Monday-Friday: 8 a.m.-7 p.m.
Saturday: 9 a.m.-4 p.m. 
Sunday: Closed

Open until further notice.

Sumner High School — Parking Lot
4248 Cottage Ave.
St. Louis, MO 63113Monday-Friday: 8 a.m.-7 p.m.
Saturday: 9 a.m.-4 p.m. 
Sunday: Closed

Open until further notice.

If you still need assistance after August 26, help is still available at DisasterAssistance.gov or by calling FEMA at 1-800-621-3362. Stay in touch with FEMA for financial assistance for home repairs and rent, as well as other needs not covered by insurance.

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NSF invests nearly $32M to accelerate novel AI-driven approaches in protein design, strengthening the U.S. bioeconomy

Published: 7 August 2025
Categories: National Science Foundation

RSS Feed Source: Academic Keys

The U.S. National Science Foundation Directorate for Technology, Innovation and Partnerships (NSF TIP) announced an inaugural investment of nearly $32 million to five teams across the U.S. through the NSF Use-Inspired Acceleration of Protein Design (NSF USPRD) initiative. This effort aims to accelerate the translation of artificial intelligence-based approaches to protein design and enable new applications of importance to the U.S. bioeconomy.

“NSF is pleased to bring together experts from both industry and academia to confront and overcome barriers to the widespread adoption of AI-enabled protein design,” said Erwin Gianchandani, NSF assistant director for TIP. “Each of the five awardees will focus on developing novel approaches to translate protein design techniques into practical, market-ready solutions. These efforts aim to unlock new uses for this technology in biomanufacturing, advanced materials, and other critical industries. Simply put, NSF USPRD represents a strategic investment in maintaining American leadership in biotechnology at a time of intense global competition.”

Researchers have made significant progress in predicting the 3D structures of proteins and are now leveraging this knowledge to design proteins with specific, desirable characteristics. These advances have been driven by macromolecular modeling, access to training data, applications of AI and machine learning, and high-throughput methods for protein characterization. The NSF USPRD investment seeks to build on this foundation by bringing together cross-disciplinary and cross-sector experts nationwide. The goal is to

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