RSS feed source: Federal Emergency Management Agency

AUSTIN, Texas – Time is running out to apply for federal disaster assistance if you had damage or losses from the July 2—18 storms and flooding in Central Texas. 

The application period ends Sunday, Sept. 28, for those who were affected by the flooding in Burnet, Guadalupe, Kerr, Kimble, McCulloch, Menard, San Saba, Tom Green, Travis and Williamson counties.

There is no cost to apply for FEMA assistance, which may help with serious disaster-related needs including temporary housing and replacement of essential personal property when the damage is not covered by insurance. Grants may also cover disaster-related funeral, medical, dental, moving-and-storage and childcare expenses including money to replace damaged appliances and furnishings.

FEMA works closely with the U.S. Small Business Administration, which provides disaster loans to homeowners, renters, nonprofit organizations and businesses of all sizes. The deadline to apply for a long-term, low-interest SBA disaster loan is also Sept. 28.

Applying for FEMA assistance and reporting damage to the state are two different processes. Remember to have your email address ready for the FEMA application. You can upload additional paperwork to your FEMA account even after the deadline has passed.

The fastest way to apply is online at DisasterAssistance.gov. You may also use the FEMA mobile app or call the FEMA Helpline at 800-621-3362. Helpline specialists speak many languages and lines are open from 6 a.m. to 10 p.m. CT daily.

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RSS feed source: Federal Emergency Management Agency

Job ID: 262703

INESC TEC | Research Initiation Grant (AE2025-0424)
INESC TEC

Research Opportunities

Software Engineering

Work description

Write a summary article on the state of the art in DevOps for Cloud, Cloud Computing, and Automated Deployment of Complex Applications to the Cloud. Study, experiment with, and develop proofs of concept and prototypes of architectures that are economical and self-scalable on demand, and easy to use by non-specialists.

Academic Qualifications

Degree in computer engineering or related field.

Minimum profile required

Average grade in bachelor’s and master’s degrees above 15.

Preference factors

Experience in em Agile, DevOps, Arquitectura de Software e Cloud Computing.

Maintenance stipend: € 651.12, according to the table of monthly maintenance stipend for FCT grants , paid via bank transfer. Grant holders may

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RSS feed source: Federal Emergency Management Agency

Job ID: 262704

INESC TEC | Post Doctoral Research Grant (AE2025-0426)
INESC TEC

Research Opportunities

Electronic Engineering

Work description

State-of-the-art study of inertial underwater navigation and dynamic flow measurement systems. Development of a flow and pressure sensor array on a flexible PCB (print circuit board). Development of instrumentation and a processing system for the sensor array. Encapsulation of the respective system in a flexible material for application in underwater vehicles. Publication of results in a scientific journal and/or conference. Writing of the grant activity report.

Academic Qualifications

PhD in Electrical Engineering.

Minimum profile required

Bachelor’s and Master’s degree average above 15. 5 articles published as first author in peer-reviewed journals. 2 presentations in technical sessions at international conferences. 20 indexed publications (Scopus).

Preference factors

Experience

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RSS feed source: Federal Emergency Management Agency

Job ID: 262701

INESC TEC | Research Grant (AE2025-0422)
INESC TEC

Research Opportunities

Computer Science

Work description

Test GAN models: Compare leading GANs for tabular data, focusing on fairness and attribute consistency. Try LLMs: Use open-source LLMs with prompts adapted for generating tables. Compare quality: Check how well the synthetic data matches real data and supports predictive tasks. Create new metrics: Design metrics that combine statistical similarity with task performance. Publish results: Write and submit a paper to a conference or journal.

Academic Qualifications

BSc in Computer Science, Computer Engineering or similar

Minimum profile required

Enrolled in a Master’s program in the relevant admission area. Knowledge of Machine Learning techniques.

Preference factors

Enrolled in dissertation, project, or another course unit leading to the thesis writing.

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