RSS feed source: USGS Earthquake Hazards Program

LITTLE ROCK – Arkansas survivors should be aware that con artists and criminals may try to obtain money or steal personal information through fraud or identity theft after the severe storms and tornadoes that occurred March 14-15. In some cases, thieves try to apply for FEMA assistance using names, addresses and Social Security numbers they have stolen from survivors.

If a FEMA inspector comes to your home and you did not submit a FEMA application, your information may have been used without your knowledge to create a FEMA application. If so, please inform the inspector that you did not apply for FEMA assistance so they can submit a request to stop further processing of the application.

If you did not apply for assistance and receive a letter from FEMA, or if you suspect fraudulent activity involving FEMA, you can report it to the FEMA Fraud Branch at  [email protected] or write to: FEMA Fraud and Internal Investigation Division, 400 C Street SW Mail Stop 3005, Washington, DC 20472-3005.

Scams

FEMA responders, housing inspectors and other officials work in impacted areas. They carry official identification badges with photo IDs. FEMA and U.S. Small Business Administration (SBA) representatives never charge applicants for disaster assistance, inspections or help in filling out applications.

Don’t believe anyone who promises a disaster grant in return for payment. They don’t represent FEMA.

Don’t give your banking information to a person

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

RSS feed source: USGS Earthquake Hazards Program

We are excited to announce two postdoctoral research opportunities in our lab, each with distinct focus areas and skill requirements. Both positions offer competitive compensation and comprehensive benefits.

1. Postdoctoral Position in Materials Informatics

We are seeking a highly motivated postdoctoral researcher with a strong background in materials informatics. The ideal candidate will have extensive training in their Ph.D. program and be capable of independently conducting research involving materials informatics. The specific focus areas encompass at least one of the following disciplines: scientific machine learning, materials informatics, and polymer physics/chemistry. The successful candidate will be responsible for designing and executing machine learning techniques for innovative polymer design and synthesis.

2. Postdoctoral Position in Hybrid Organic–Inorganic Perovskites (HOIPs)

We are also looking for a postdoctoral researcher with extensive expertise in computational modeling of HOIPs, such as density functional theory and ab initio molecular dynamics. The

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