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News
November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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Академическая карьера после защиты кандидатской диссертации на примере четырех отраслей российской науки

Вопросы образования. 2022. № 4. С. 260–297.
Slepykh V., Lovakov A., Yudkevich M. M.

A PhD degree is a necessary qualification for becoming a full-fledged member of the academic community and is often considered as a first step in one’s academic career. However, little is known about how the further careers of those who receive a PhD degree in Russia develop. In this article, we explore the diversity of academic careers of Russian researchers. The main focus of the study is on researchers' productivity and mobility. Also, attention is paid to the differences between researchers who graduated from academic organisations in different sectors. We analysed data on 2,102 researchers who defended PhD theses at Russian dissertation councils in biology, chemistry, mathematics, and physics in 2012. We found that more than half of PhD holders continue their careers in academia, and the vast majority of them publish their works in globally visible journals. The proportion of researchers with low productivity is smaller than the proportion of those highly productive. Both the academic and geographic mobility of Russian researchers is low. The sector of the academic organisation in which the PhD thesis was written matters: researchers from leading universities and the research sector are more productive and less mobile than researchers from universities without special status. Thus, it can be concluded that the PhD degree is primarily a stepping stone to an academic profession, and those who have chosen this path are quite competitive at the global level.

Research target: Other social sciences
Language: Russian
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Keywords: академическая мобильностьacademic careerresearch productivityнаучная продуктивностьакадемическая карьера academic mobilityresearch sectoruniversity sectorисследовательский секторуниверситетский сектор
Publication based on the results of:
Higher education market agents in the digitalization context: data as a basis for analyzing incentives and strategies (2022)
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