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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

 

ANNOUNCMENT

 

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 July 3 and 10 at YSU (2 days, 8 hours each day).

 

The workshop is exclusively for verifiable academic students, staff, and researchers with innovative and progressive mindset. Workshops will be led by the certified NVIDIA DLI Ambassadors in Armenia Gagik Chakhoyan and Gevorg Ghalachyan.

 

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

 

Workshop will consist of two modules:

1. Fundamentals of Deep Learning for Computer Vision

This workshop teaches deep learning techniques for a range of computer vision tasks. After an introduction to deep learning, participants will advance to building and deploying deep learning applications for image classification and object detection, modifying their neural networks to improve their accuracy and performance, and implementing the techniques they have learned on a final project. At the end of the workshop, they will have access to additional resources to create new deep learning applications on their own.

 

2. Fundamentals of Deep Learning for Multiple Data Types

This workshop uses a series of hands-on exercises to teach deep learning techniques for a range of problems involving multiple data types. After a quick introduction to deep learning, the participants will advance to building deep learning applications for image segmentation, sentence generation, and image and video captioning, while learning relevant computer vision, neural network, and natural language processing concepts. At the end of the workshop, they will be able to assess a broad spectrum of problems where deep learning can be applied.

 

Prerequisites:

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

 

The registration deadline is June 30 (including):

 

To apply please visit here.




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