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News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

 

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?

Спрос на знания умения и навыки в вакансиях: кого готовит университет?

Мир России: Социология, этнология. 2023. Т. 32. № 2. С. 74–96.
Ternikov A., Бляхер М. Л.

An important challenge for the modern higher education system is to ensure that the skills of graduates of higher education institutions meet the needs of the labour market. This paper provides a comparative analysis of educational programs related to the field of social, mathematical and computer sciences, as well as comparable vacancies. The aim is to reveal how the learning outcomes declared in educational programs match with the real demands of employers. The methodological aspect takes into account the needs of the labour market for qualified personnel (without work experience). A methodology provides opportunities for correct matching between the learning outcomes indicated in the educational programs of higher education institutions with the demand of employers for the skills of workers in Russian labour market. Natural language processing methods are used for data preparation. The search for similar pairs of vacancies and educational programs is carried out using the Jaccard index (the intersection of two sets of skills divided by their combination). It establishes a correspondence between the education system (educational programs) and the labour market (vacancies). As a result, the declared and required skills were classified. It establishes a correspondence between the education system (educational programs) and the labour market (vacancies). The most probable job titles for potential employees in the educational specialties, educational programs and professional specializations have been identified. A significant contribution of this study is the development of tools that allow timely monitoring of the labour market based on skills. The paper offers recommendations on the application of the developed methodology to optimize educational programs of the higher education system.

Research target: Education Computer Science Economics and Management
Language: Russian
Full text
DOI
Keywords: рынок трудаобразовательные программысистема образованияlabour marketnatural language processingeducational systemобработка естественного языкаeducational programmesdemand for skillsOnline vacanciesспрос на знания умения и навыкионлайн вакансии
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