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ARC Semiconductor Lab Project Manager

ANNONCEMENT

 

We are looking for a Project Manager for the Semiconductor Lab within the “Advanced Research Center”' (ARC) project.

 

Interested candidates should submit their CVs, a cover letter detailing their relevant experience, and references to [email protected] by September 25, 2024 (including). 

Call for International Experts to Join the EIF Science Incubator

The EIF Science Incubator was established in 2022, at the initiative of the "Enterprise Incubator" Foundation with the support of PMI Science R&D Center Armenia, to be the crucial node in the chain of versatile programs to develop the scientific ecosystem in Armenia.

The main mission of the EIF Science Incubator is to ensure effective bilateral cooperation between the industrial and scientific communities through the exchange of research and knowledge and by directing and facilitating the process of science commercialization.

To achieve this mission, we are inviting International experts in the following applied research fields to join our distinguished group of global experts.
NVIDIA “Fundamentals of Deep Learning” workshop 2022

 

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 “Fundamentals of Deep Learning” hands-on workshop, which will take place on February 12 and 13 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 February 10 (including).

 

To apply please visit here.




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