RSS feed source: Federal Emergency Management Agency

FRANKFORT, Ky. – Kentucky homeowners and renters who suffered uninsured or underinsured damage to their property from the April severe storms, flooding, straight-line winds, tornadoes, flooding, landslides and mudslides now have until July 25 to apply for FEMA assistance.

Survivors are encouraged to file insurance claims for damage to their homes, personal property and vehicles before they apply for FEMA assistance. FEMA Individual Assistance cannot duplicate insurance benefits or other sources of assistance. 

How To Apply for FEMA Assistance

There are several ways to apply for FEMA assistance:

Online at DisasterAssistance.gov.Visit any Disaster Recovery Center. To find a center close to you, visit fema.gov/DRC, or text DRC along with your Zip Code to 43362 (Example: “DRC 29169”).Use the FEMA mobile app.Call the FEMA Helpline at 800-621-3362. It is open 7 a.m. to 10 p.m. Eastern Time. Help is available in many languages. If you use a relay service, such as Video Relay Service (VRS), captioned telephone or other service, give FEMA your number for that service. 

FEMA works with every household on a case-by-case basis.

FEMA representatives can explain available assistance programs, how to apply to FEMA, and help connect survivors with resources for their recovery needs.

When you apply, you will need to provide:A current phone number where you can be contacted.Your address at the time of the disaster and the address where you are now staying.Your Social Security Number. A general list

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RSS feed source: Federal Emergency Management Agency

Research Opportunities

Programming, Computer engineering

Work description

The goal of this research is to evaluate how Large Language Models (LLMs) can be leveraged to address forecasting challenges in the energy sector, specifically those that can be framed as sequence-to-sequence problems.

The grant holder will explore different strategies on prompt engineering, compare the potential of different LLM’s and create a methodology that can be replicable to multiple challenges for the energy sector.

Academic Qualifications

Electrical Engineering, Informatics, Computer Science or similar courses.

Minimum profile required

Programming experience in Python. Basic understanding of machine learning concepts. Experience using data science tools (e.g., pandas, scikit-learn, matplotlib). Familiarity with version control systems (Git).

Preference factors

Familiarity with Large Language Models (e.g., Mistral, LLaMA). Understanding of machine learning workflows and forecasting methods. Python oriented to data manipulation and analytics.

Maintenance stipend: € 651.12, according

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RSS feed source: Federal Emergency Management Agency

Job ID: 257948

INESC TEC | Doctor Researcher (AE2025-0235)
INESC TEC

Research Opportunities

Computer Science

Work description

Contribution to the preparation of R&D proposal proposals. Development of intelligent models within the scope of electrical energy systems. Supervision of students and scholarship holders to develop work related to the area of work. Development of scientific production oriented to international journals and conferences, and participation in scientific and technological dissemination initiatives.

Academic Qualifications

Ph.D. degree in Computer Science or a related scientific field, and who possess a scientific and professional track record demonstrating a profile suitable for the activities to be carried out, are eligible to apply.

Minimum profile required

Ph.D. holders with experience in the development of data science-based solutions applied to the domain of electric power systems,

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