RSS feed source: Federal Emergency Management Agency

CHICAGO – Preliminary flood risk information and updated Flood Insurance Rate Maps (FIRMs) are available for review by residents and business owners in St. Joseph County, Michigan. Property owners are encouraged to review the latest information to learn about local flood risks and potential future flood insurance requirements. Community stakeholders can identify any concerns or questions about the information provided and participate in the 90-day appeal and comment period.

The 90-day appeal period will begin on or around September 26, 2025. The preliminary maps and changes from current maps may be viewed online at the FEMA Flood Map Changes Viewer: http://msc.fema.gov/fmcv

The updated maps were produced in coordination with local, state, and FEMA officials. Significant community review of the maps has already taken place, but before the maps become final, community stakeholders can identify any concerns or questions about the information provided and submit appeals or comments. Contact your local floodplain administrator to do so. 

Appeals must include technical information, such as hydraulic or hydrologic data, to support the claim. Appeals cannot be based on the effects of proposed projects or projects started after the study is in progress. If property owners see incorrect information that does not change the flood hazard information, such as a missing or misspelled road name in the Special Flood Hazard Area or an incorrect corporate boundary, they can submit a written comment. 

The

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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: € 1309.64, according

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

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: € 1309.64, according

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

RSS feed source: Federal Emergency Management Agency

FEMA announced an additional $64.2 million for nearly 30 North Carolina Tropical Storm Helene recovery projects.

In the last two months, more than $228 million in recovery reimbursements were obligated to the state. 

Here are some of the large FEMA grants obligated to the state and communities:
•    $35.4 million to the North Carolina Department of Transportation for road repairs in Ashe, Avery, Buncombe, Caldwell, McDowell, Mitchell, Watauga and Yancey counties.
•    $10.7 million to the city of Asheville for temporary water supply stabilization at the North Fork and William DeBruhl water treatment plants. 
•    $4.6 million to Buncombe County for emergency protective measures to support landslide slope stabilization. 
•    $3.5 million to the town of Beech Mountain for repairs to the Buckeye Lake dam, Buckeye water treatment plant and the town’s water systems.
•    $3 million to Haywood Electricity Membership Corporation for repairs to power transmission and distribution systems servicing Buncombe, Haywood, Jackson, Macon, Madison and Transylvania counties. 
•    $2.5 million to the town of Lake Lure for the replacement of the Lake Lure Flowering Bridge.
•    $1.5 million to Asheville Christian Academy for repairs to damaged facilities. 
•    $1.5 million to Skyline Telephone Membership Corporation for repairs to utilities including fiber optic lines servicing Ashe, Alleghany, Avery and Watauga counties. 
•    $1.3 million to the town of Marshall for the replacement of the Marhsall Town Hall building. 

FEMA is reimbursing these costs at no less than a 90% federal share through

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