DOE Traineeship in Computational High Energy Physics
Sector: Education • Location: United States of America
Source: Grants.gov
The DOE SC program in High Energy Physics (HEP) hereby announces its interest in receiving applications for the DOE Traineeship in Computational HEP, which will provide support to train the next generation of scientists and researchers in this field. Up to two cooperative agreements may be awarded to provide funding to universities or teams of universities to support tuition, stipend, and travel c
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The DOE SC program in High Energy Physics (HEP) hereby announces its interest in receiving applications for the DOE Traineeship in Computational HEP, which will provide support to train the next generation of scientists and researchers in this field. Up to two cooperative agreements may be awarded to provide funding to universities or teams of universities to support tuition, stipend, and travel costs for students enrolled in specific academic programs aimed at training graduate students in software and computing for particle physics and related fields, and to provide modest support for curriculum development and program administration. Award terms are expected to be up to five years, with the possibility of renewal for a second term. This program does not support dedicated research efforts to develop new software or computing technologies related to HEP-supported research; such efforts are supported through the Computational HEP subprogram. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |