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Intelligent systems

Aim of the program: 

The aim of the course is to provide introductory knowledge on selected topics in the field of intelligent systems. It introduces the basic techniques of machine learning, data mining, cognitive science, natural language processing, as well as application the area of bioinformatics. Students will learn and acquire a deeper understanding of the challenges and approaches in designing intelligent systems and with the provided assignments they will be trained to developed practical skills for solving concrete classification and prediction systems.

Accreditation: 

Marketing

Aim of the program: 

Introduction to key elements for the development of marketing strategy and planning marketing program Developing skills for solving marketing problems through set of analytical tools (frames, concepts, models and techniques) Presentation of case studies how companies from different industries organize their marketing Integrating e-marketing into the overall marketing strategy Assessment of the content and structure of web pages against business objectives Application of the latest techniques in intenet marketing communications, such as viral marketing, blogs or social networks marketing.

Accreditation: 

 

 

 

 

SPD Computing вработува кандидати без/со работно искуство за работна позиција Application Developer.

Кандидатите ќе работат на развој и одржување на постоечки систем на апликации на компанијата, базирани на 

  • MS DotNet
  • PHP развојни алатки 
  • Oracle/MS SQL Server бази на податоци

Кандидатите со основни познавања на наведените технологии ќе имаат предност при изборот.

За подетални информации можете да контактирате со претставници на компанијата, како и да ги доставувате CV преку следната меил адреса: info@spdcomputing.com

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Табови

Sonja Filiposka Ph.D.

Табови

Igor Mishkovski Ph.D.

If you are looking for a flexible and challenging opportunity to expand your career within a team of experts and you enjoy working with .NET Framework
You can contribute to our team by

1.    Actively participating in all aspects of SDLC of the web application including coding standards, reviews, source control management, build processes, and testing while working to identify the best technical solutions for our partner’s business requirements;
2.    Implementing and maintaining new/existing features to existing WEB applications, while following the IBORN’s standards for quality;
3.    Sharing your ideas and expertise with the tribe while learning from culture experts aiming to improve the ongoing technical ways of working;
 

 

Why IBORN?
IBORN’s software development pillar consists of engineers who retain a high degree of independence, allowing the tribe members to be owners and innovators of the solution. By using the most attractive technologies and methodologies, the performance of our software engineers is underpinned by the leadership of the culture experts, merging our knowledge on the road to excellence. Apply now! https://bit.ly/40v1eH5

 

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University Agency for Francophonie (UAF) offers opportunities related to project funding, mobility and student internships.

In addition are the opportunities for scholarships for student internships.

- Student internships in companies in France or in companies which use French

 

o Call until the end of January of the following calendar year.
o Students in the last 2 years of study
o The student himself provides the internship
o Applications for assistance go through agency
o Scholarships from 600 to 800 euros per month
o Duration of 1 to 3 months - student internships in Macedonian companies with French capital / management
o For the first time this year, is not yet fully defined
o Up to 150 euros per month

 

Aid to improve the knowledge of the French language is offered at the French Cultural Center, 30-40 hours, for the applicants which will receive scholarships from the agency.

 

More information here, as well as on

https://www.auf.org

www.auf.org/bureau/bureau-europe-centrale-et-orientale/ http://ifs.mk/mk/Home/StudyFranceContent/1503

Предавањето ќе биде во петок 20.12.2024 година со почеток во 12:30 часот во АМФ на ФИНКИ.
Title: "Bridging Disciplines: The Transformative Role of Machine Learning and AI in Finance, Economics, and Healthcare"

Description:
Join us for an engaging exploration of how machine learning, artificial intelligence, and neural networks are revolutionizing key sectors of society. This talk delves into the innovative intersections of these technologies with finance, economics, and healthcare. We will discuss cutting-edge research, practical applications, and future possibilities, highlighting how interdisciplinary collaboration is shaping smarter solutions to complex challenges. Discover the opportunities and implications of these advancements and gain insights into the transformative potential of AI across diverse fields.

Irena Vodenska is a professor of finance, director of finance programs, and chair of administrative sciences at Boston University’s Metropolitan College, specializing in network theory, systemic risk modeling, and the application of neural networks and AI in macroeconomic research.
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Табови

Ivan Chorbev Ph.D.

Табови

д-р Иван Чорбев