Сколтех — новый технологический университет, созданный в 2011 году в Москве командой российских и зарубежных профессоров с мировым именем. Здесь преподают действующие ученые, студентам дана свобода в выборе дисциплин, обучение включает работу над собственным исследовательским проектом, стажировку в индустрии, предпринимательскую подготовку и постоянное нахождение в международной среде.

Skoltech Digest 12/08/2019-26/08/2019

Dear Skoltech community, we would be glad to receive news on your publications, interviews and achievements.

23/08/2019 
Alexander Tyshkovskiy and the international group of scientists studied the effects of 17 different lifespan-extending interventions on gene activity in mice and discovered genetic biomarkers of longevity. Read onEurekAlert!, Phys.org, TVEuropaIndicator, popmech.ru, vevby.ru, goroday.ru, potokmedia.ru

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23/08/2019 
Alexei Salimon and his colleagues from IPAC RAS and MISIS developed a new technology for producing ultra-high molecular weight polyethylene with a porous structure. Read on TASS, Rambler.news, Indicator, Gazeta.rumk.ru,news.Sputnik, nauka.vesti.ru

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22/08/2019 
German Foreign Minister Heiko Maas visited Skoltech. Read on TASS

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19/08/2019 
Alexander Zherebker and his colleagues have discovered substances extracted from coal with antiviral activity against the tick-borne encephalitis virus. Read on TASS, Indicator, 360tv.ru, news.Sputnik, Planet Todaymedikforum, AiF.ru, PlanetTodayEurekAlert!, Phys.org, TechExploristnews-medical.net, earth.com, sify.com, the Guardianscienceboard.net, the Times of India, business-standard.com

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17/08/2019 

A group of researchers led by Pavel Troshin studied coordination polymers and demonstrated their possible future use in energy storage devices with a high charging/discharging rate and stability. Read on TASS, Indicator, RegnumNauka i Tehnika, hightech.fm, goroday, news.sputnikelec.rubitcryptonews, sm-news, popmech.ruEurekAlert!, phys.orgazom.com,longroom.com7thspace.com

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12/08/2019 
Petr Popov and his colleagues from Germany and India developed a machine-learning-based method that allows analyzing the atomic structures of proteins and predicting the pathogenicity of mutations. Read on TASS, RIA Novosti, Nauchnaya Rossiyahightech.fm, comnews.ru, Indicatorcryptofeed.ru,mosday.ruEurekAlert!techxplore.com

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