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PhD Support Program 2022

Global Call for Applications
PhD Support Program 2022

 

PhD students from foreign and local universities and research institutes are invited to submit proposals for the PhD Support Program 2022․ The program is implemented by the Enterprise Incubator Foundation with support of PMI Science and aims to encourage young scientists by providing funding and assistance for their research and scientific projects. 

Faculty Research Funding Program 2022

Global Call for Applications
Faculty Research Funding Program 2022

 

Research teams from local and foreign leading universities, research institutes and companies are invited to submit their proposals for the Faculty Research Funding Program implemented by Enterprise Incubator Foundation (EIF) with support of PMI Science. The main goal of the Program is to provide funding and systemic support to various research teams in the scientific directions mentioned below. 

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.




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