RSS feed source: Federal Emergency Management Agency

AUSTIN – If you live in Cameron, Hidalgo, Starr and Willacy counties and were affected by the severe storms and flooding that occurred March 26-28, you may be eligible for FEMA assistance for losses not covered by insurance.

How To Apply for FEMA AssistanceVisit a Disaster Recovery Center. To find a center close to you, go online to: DRC Locator, or text DRC along with your Zip Code to 43362 (Ex: DRC 78552).Apply online at www.DisasterAssistance.gov.Download the FEMA App for mobile devices.Call the FEMA helpline at 800-621-3362 between 6 a.m. and 10 p.m. CT. Help is available in most languages. If you use a relay service, such as video relay (VRS), captioned telephone or other service, give FEMA your number for that service.To view an accessible video about how to apply visit: Three Ways to Register for FEMA Disaster Assistance – YouTube.Home Inspections

Within 10 days after applying, a FEMA inspector may contact you to schedule an appointment. To be prepared for the visit, please have the following available:

Photo identification.Proof that you owned or occupied the house at the time of the disaster.Receipts for home repairs or replacement of damaged items.Pictures of any damage that may now be repaired.

For an accessible video on FEMA home inspections, go to FEMA Accessible: Home Inspections.

Your Determination Letter

Within 10 days after the inspector’s visit, you will receive a letter in the mail

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RSS feed source: Federal Emergency Management Agency

Start date: autumn 2025
Post duration: 3 years in the first instance, with a 1-year extension negotiable
 

The Digital Economic Security Lab is recruiting a postdoctoral researcher with a background in politics, law, economics, or related disciplines to work on GEOCLOUD: The Geopolitics of Cloud Computing, a European Research Council Advanced Grant project.
Outsourcing computation to cloud providers can be economically efficient while at the same time generating new systemic risks and dependencies that governments try to manage.
GEOCLOUD is concerned with mapping the changing geography of computational infrastructures and understanding how it is shaped by the interaction of technology companies’ business interests and states’ economic and security interests.
The project focuses on Europe and East/Southeast Asia, situated within the broader context of U.S.-China technological rivalry. It aims to contribute to international political economy, security studies, and related fields. The researcher will join a

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RSS feed source: Federal Emergency Management Agency

Each year, preeclampsia—a life-threatening pregnancy complication—affects nearly 1 in 25 expectant mothers in the United States. Emerging suddenly after 20 weeks of pregnancy, it can lead to dangerously high blood pressure, premature birth, and long-term health issues for both mother and baby. Despite its severity, the root causes of preeclampsia remain poorly understood, and treatment options are limited.

Currently, the only effective treatment for preeclampsia is early delivery of the placenta, which often leads to premature birth and associated health risks for the baby. While researchers know the placenta plays a central role in the disease, the exact causes of its dysfunction remain unclear. This lack of understanding makes preeclampsia difficult to predict, prevent, or treat effectively.

Researchers at UC San Diego are tackling these challenges with help from NSF-supported computational resources. The team leveraged advanced computing systems like the San Diego Supercomputer Center’s Expanse to conduct large-scale RNA sequencing analysis to compare placental tissue from healthy and preeclamptic pregnancies—processing terabytes of next-generation sequencing data to identify genes that behave differently in the disease.

Expanse also enabled the team to develop a model system of preeclampsia using induced pluripotent stem cells (iPSCs), which allows scientists to recreate the disease in the lab and observe how stress conditions like low oxygen affect placental development. By replicating these abnormal conditions, the team identified biological pathways—like inflammation and

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