Apply for these Fellowship Opportunities as soon as possible before the deadlines. You can also see other opportunities on our Latest Opportunities home page.
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Here are 6 (six) Fellowship Opportunities for you to apply for:
1. African Academy of Sciences Fellowship 2023 for African Scholars
The African Academy of Sciences (AAS) recognizes scientific excellence by electing to its membership outstanding scholars who have attained the highest level of excellence in their scientific field and have made significant contributions to the advancement of science regionally and globally.
2. IBM Hyper Protect Accelerator 2023 for Startups
Applications for the IBM Hyper Protect Accelerator 2023 are now open. IBM Hyper Protect Accelerator is an investment-readiness and technical mentorship program, run in partnership with Village Capital and IBM.
3. Ingressive for Good 1000 African Women in Data Scholarships 2023
Ingressive for Good, an ed-tech nonprofit, has partnered with DataCamp to provide this scholarship to 1000 African women and empower them with skills in Data.
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4. MIT Africa Empowering the Teachers Fellowship Programme 2024/2025 (Fully Funded to Massachusetts Institute of Technology (MIT),USA)
The MIT-Empowering the Teachers Program (MIT-ETT) is a semester-long fellowship accepting engineering professors who are currently teaching at local universities in Nigeria and who recently completed their Ph.D.
5. University Startup World Cup Program 2023 for impact based university startups worldwide
The best impact-based university startups from around the world come together to network, learn, grow, and pitch for a chance of becoming the world’s best university startup! Venture Cup Denmark hosted the first University Startup World Cup back in 2015 with startups from all around the world.
6. USC Annenberg Center for Health Journalism Data Fellowship 2023 ($2,000 stipend)
Applications are open for the USC Annenberg Center for Health Journalism Data Fellowship 2023. The Data Fellowship offers journalists an opportunity to transform their reporting by training them to “interview the data” as if it were a human source.