27/05/2025
⏳ Only 3 Days Left to Register!
This is your last chance to join the EffiSolveX Research Lab as a Research Intern!
We’ve received an overwhelming response from passionate individuals eager to explore cutting-edge domains like Artificial Intelligence, Machine Learning, NLP, Computer Vision, Cybersecurity, and IoT. If you haven’t applied yet — now is the time!
★ Why Join?
Work on real-world research projects
Get opportunities for research publications
Be considered for Research Assistant positions
Receive a performance-based honorarium
★ Who Can Apply?
CSE and related field undergraduates or recent graduates
With basic knowledge in ML, DL, and Python
No research experience required — just enthusiasm to learn!
Deadline:
30 May 2025, 11:59 PM
Apply now through the link in the pinned comment or scan the QR code in the image. Don’t miss this opportunity to kickstart your research career with EffiSolveX!
18/05/2025
🚀 Join EffiSolveX Research Lab as a Research Intern
Are you passionate about exploring the world of Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Computer Vision (CV), Cybersecurity, IOT, and beyond? This is your opportunity to gain practical research experience, publish your findings, and become a valued member of a vibrant research community.
🔍 Who Can Apply?
- Undergraduate students and recent graduates from CSE and related fields.
- Basic knowledge of Machine Learning (ML), Deep Learning (DL), and Python.
- No prior research experience is required – just a passion for learning.
🌟 Why Join Us?
-Opportunity for Research Publications with EffiSolveX Research Lab.
-Potential for Research Assistant Position.
-Performance-Based Honorarium: Interns may receive a one-time honorarium based on performance and publication funding.
📌 Application Deadline: This form will close promptly at 11:59 PM on 30 May 2025. Please make sure to submit your application before this time. Apply now and take your first step toward an exciting research journey!
Interested candidates can apply by using the link in the pinned comment or by scanning the QR code in the image.
