There is an outbreak of chikungunya in Cuba. Mosquitoes spread the virus that causes chikungunya.
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Author: WeWorldMedia-admin
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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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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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
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