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Training-based Workforce Development for Advanced Cyberinfrastructure

U.S. National Science Foundation · Engineering (47.041)

Опубликован 22 нояб. 2022 г. · Осталось примерно 4 месяца

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The U.S. National Science Foundation funds training and workforce development programmes that prepare researchers to use advanced computing infrastructure for science and engineering research. Awards up to 1 million US dollars support curriculum development, faculty training, and workforce preparation in cyberinfrastructure skills, with applications due 21 January 2027.

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This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering (S&E) research and education and contribute to the Nation's overall economic competitiveness and security. The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers’ abilities to lead the development of new CI, and (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven methods for advancing fundamental research, into the Nation’s undergraduate and graduate educational curriculum/instructional materials. Proposals responding to this solicitation may target one or both solicitation goals. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, methods, and services for advanced computation, large-scale data handling and analytics, and networking and security for large-scale systems that…

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Кто может подать заявку

  • Академическое или исследовательское учреждение
  • НКО / гражданское общество
  • Частная компания
  • Государственный орган

Требования и условия

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Applicant types: Others (see text field entitled "Additional Information on Eligibility" for clarification)

*Who May Serve as PI:

To ensure relevance to community needs and to facilitate adoption, those proposals of interest to one or more domain divisions must include at least one PI/co-PI with expertise relevant to the targeted research discipline. All proposals shall include at least one PI/co-PI with expertise relevant to OAC.

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