Current News

Internship Opportunity in Neurotechnology and Data Science

Call for Interns։ Internship Opportunity in Neurotechnology and Data Science

 

We are pleased to announce an internship opportunity for motivated students and young specialists to join our newly established Neurotechnology Laboratory.

This two-month internship is designed to provide hands-on exposure to contemporary neurotechnology methods, tools, and research practices, offering a unique opportunity to work at the intersection of neuroscience, engineering, and data science.

Thе internship program is implemented by the Science Incubator of the Enterprise Incubator Foundation (EIF) at the newly established Neurotechnology Laboratory within the High-Tech Accelerator in Engineering City.

Business Development Manager

Vacancy: Business Development Manager


Enterprise Incubator Foundation (EIF), one of the leading technology and innovation development institutions in Armenia, is seeking a highly motivated Business Development Manager to support the expansion and implementation of strategic initiatives across the high-tech, education, and science ecosystems.
NVIDIA “Fundamentals of Deep Learning” workshop


ANNOUNCEMENT

 

NVIDIA DLI and the “Data Science for Business” master’s program of YSU, in partnership with Enterprise Incubator Foundation (EIF) and Innovative Solutions and Technologies Center (ISTC), are inviting to participate in the second “Fundamentals of Deep Learning” hands-on workshop for the 2022 year, which will take place on May 14 and 15 at YSU (2 days, 4 hours each day).

 

The workshop is exclusively for verifiable academic students, staff, and researchers with innovative and progressive mindsets. Workshops will be led by the certified NVIDIA DLI Ambassador in Armenia Lilit Yolyan.

 

NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.

 

In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks. You will:

  • Implement common deep learning workflows such as Image Classification and Object Detection;
  • Experiment with data, training parameters, network structure, and other strategies to increase performance and capability;
  • Deploy your networks to start solving real-world problems.

 

On completion of this course, you will be able to start solving your own problems with deep learning.

 

Prerequisites:

Basic experience using Python and familiarity with matrix operations, functions, variables, etc. English language fluency

 

The registration deadline is May 11 (including).

 

To apply please visit here.




Back
Contact Us | About | Projects | Services | News | Researches | Guides | Startup Ecosystem | R&D Ecosystem | BLOG