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Helsinki ICT network: Positions for Exceptional Doctoral Students (deadline January 31, 2018)
Mon, 18.12.2017
The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) is a joint initiative by Aalto University and the University of Helsinki, the two leading universities within this area in Finland. The network involves at present over 60 professors and over 200 doctoral students, and the participating units graduate altogether more than 40 new doctors each year.
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AI Day 13.12.2017: registration open - Aalto University and the University of Helsinki join forces in artificial intelligence research
Fri, 10.11.2017
On 13 December, the Finnish Center for Artificial Intelligence (FCAI) will host the Artificial Intelligence Day at Dipoli in Espoo, which will allow researchers, companies and representatives of the public administration to meet up. Come join us in discussing artificial intelligence, forming networks and utilising the expertise of other participants. For more information and registration visit http://cs.aalto.fi/en/current/events/2017-10-04-006/
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Kick-off event of HiData - Helsinki Centre for Data Science
Fri, 10.11.2017
The kick-off event will present plans for HiData as well as a range of examples of data science within the participating universities. It is also a great opportunity to network with other academics with interest in data science. Anyone interested in data science research or education is welcome to join the HiData network! Also join the open Facebook group for HiData.
Revolution in bacterial evolution
Fri, 20.10.2017
A research team led by Prof. Jukka Corander and Dr. Nicholas Croucher has made a pioneering discovery about how bacterial populations evolve, which changes dramatically our view into the role of accessory genes in defining the fitness of bacteria.
Studying the intersection of society and technology: Rajapinta unconference call for content
Fri, 22.09.2017
The first annual Rajapinta unconference will be organized in Dipoli, Otakaari 24. The event is open to all interested in the study of digital society or digital methods for social sciences.
Machine learning guides drug-target mapping efforts
Fri, 01.09.2017
Researchers from FIMM, HIIT and University of Turku have demonstrated that carefully optimized machine learning models offer complementary and cost-effective approach to experimental determination of drug-target interactions, allowing for prioritization of the most potent targets for further in vitro or ex vivo target validation in the laboratory.
Distinguished Paper Award at CP 2017
Wed, 30.08.2017
The paper "Reduced Cost Fixing in MaxSAT", authored by Antti Hyttinen, Matti Järvisalo, and Paul Saikko of the HIIT / University of Helsinki Constraint Reasoning and Optimization group
50 Years of Computer Science in Helsinki Jubilee Seminar
Tue, 15.08.2017
This year the Department of Computer Science of the University of Helsinki celebrates its 50th Anniversary. The festivities include a Jubilee Seminar on Thursday 31 August 2017, at 1-6 p.m., in the Great Hall of the University Main Building (Unioninkatu 34).
Toxicity of chemicals can be predicted computationally
Thu, 06.07.2017
Unanticipated harmful effects of chemicals and drug molecules are a big problem. A significant step in predicting them computationally, based on genomic data, was taken in a study published in Nature Communications. The study was done by HIIT researchers Juuso Parkkinen and Samuel Kaski in collaboration with researchers from Karolinska Institutet, Maastricht University and Institute for Molecular Medicine Finland FIMM. http://rdcu.be/tSSF
Best student paper award at Web Science 2017
Thu, 29.06.2017
At this year's International ACM Web Science Conference (Websci 2017), the best student paper award went to the paper titled “The Effect of Collective Attention on Controversial Debates on Social Media” by Venkata Rama Kiran Garimella (Aalto), Gianmarco De Francisci Morales (QCRI), Aristides Gionis (Aalto), and Michael Mathioudakis (Aalto).
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