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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Репрезентация гендера в российском дискурсе трудоустройства (на материале объявлений о работе и резюме)

Вопросы психолингвистики. 2021. № 3(49). С. 30–45.
Аликина А. В.

The article describes gender representation peculiarities in the Russian discourse of employment, revealing the role of gender stereotypes in responding to a job advertisement and the ways employers inform candidates about the gender of the employee desired. We used the methods of content analysis and semantic interpretation, as well as ethnographic and quantitative methods. The corpus for analysis includes job advertisements and resumes that reflect the peculiarities of the interaction of languages and cultures in the context of globalization. The subject of the current research is gender representation ways in job advertisements and resumes in the Russian employment discourse. 

The results show that masculine gender predominance in the position names in job advertisements does not influence female candidates’ desire to apply for a job. Moreover, the research suggests that female candidates tend to apply for the professional spheres that were conventionally concerned as male ones like IT or telecom. At the same time, the resistance of Russian employment discourse to the global feminist one was reviled as no so-called feminitives were found in its corpus. The study demonstrates the growing influence of English-based patterns on Russian employment discourse conventions, expressed by informal, personalized, and individual-focused interaction with a candidate in job advertisements. The findings also indicate that professional skills and gender specificity of a professional sphere influence the desire of a candidate to apply for a job rather than a masculine gender in the name of a vacancy. Moreover, to implicit the gender of a candidate, employers can use either visual or text opportunities of a job advertisement. Besides, some cases of gender specificity blurring were detected in the professional spheres that were conventionally considered as the ones for females (domestic staff or beauty sphere) where male candidates now tend to be of demand. 

Research target: Philology and Linguistics
Language: Russian
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Keywords: гендерные стереотипыgender stereotypes gender representationдискурс трудоустройстваemployment discourseglobal and localрепрезентация гендераглобальное и локальное
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