RSS feed source: Centers for Disease Control and Prevention--Office of Public Health Preparedness and Response
A CDC food safety alert regarding a multistate outbreak of Salmonella infections has been posted
Click this link to continue reading the article on the source website.
RSS feed source: Centers for Disease Control and Prevention--Office of Public Health Preparedness and Response
Job Description
Provides support for funded research projects. Education: Ph.D.
Department
Mechanical Engineering Operations
General Submission Guidelines:
Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.
Still Have Questions?
If you have any questions regarding your application, please contact [email protected].
Click this link to continue reading the article on the source website.
RSS feed source: Centers for Disease Control and Prevention--Office of Public Health Preparedness and Response
On 5/20/2025 3:05:58 PM, an earthquake occurred in Papua New Guinea potentially affecting 8 thousand (in MMI>=VII). The earthquake had Magnitude 6.4M, Depth:10km.
Click this link to continue reading the article on the source website.
RSS feed source: Centers for Disease Control and Prevention--Office of Public Health Preparedness and Response
Research theme area:
Fluid Mechanics, advanced image analysis, noise removal, pressure field reconstruction, and particle image velocimetry.
Abstract:
The candidate will collaborate with researchers from the FAPESP-Shell Research Centre for Greenhouse Gas Innovation of POLI-USP at the University of São Paulo. Summary of the program and projects can be found at the RCGI website (https://sites.usp.br/rcgi/).
The selected candidate will employ machine learning and other techniques based on the NavierStokes equations to perform flow analysis with a focus on noise removal and pressure field reconstruction. The candidate is expected to work with experimental and numerical data, especially from electrolyzer and fuel cell flows.
Description:
The applicant will contribute in line with the main objectives of the project:
Work with flows obtained by computational fluid dynamics simulation, synthetic images or experimentally. Use and/or develop computational algorithms (filters and/or neural networks) to remove noise from flow images. Develop computational algorithms
Click this link to continue reading the article on the source website.
