This news feed aggregates content from the Research News feeds from the Helsinki Institute for Information Technology HIIT, Aalto University Department of Computer Science, and the University of Helsinki Department of Computer Science.
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The Faculty of Science invites applications for four (4) positions of ASSISTANT PROFESSOR / ASSOCIATE PROFESSOR / PROFESSOR in Computer Science in the following areas: 1. Data Science ̶ Machine Learning and AI 2. Knowledge Discovery in Big Data ̶ Example Domains Include Atmospheric Applications and Other Areas of Data Science 3. Data Science ̶ Special Emphasis on Software Engineering Research 4. Privacy-aware and Secure Data Science...
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Applicants for the two assistant professor/associate professor/professor positions in computer science ((parallel and distributed data science/Software systems for data-intensive computing in natural sciences) will give their scientific presentations and teahching skills demonstations as follows. read more
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Economy is undergoing a shift and needs new global and localised socio-technological interventions to accommodate the changes. To address the issue, a seminar "Blockchain Experiment Starting: Can local currency become new strength of Helsinki?" was held on 7 September 2017. The seminar brought together institutions, activists, researchers and citizens to think about the core challenges related to monetary system today. It was organised by ValueCraft...
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Aalto University will use the funds to establish a new Professor of Practice for the Information Networks degree programme. The new Professor of Practice will strengthen the cooperation of Aalto University teachers, companies and public organisations. The professor’s field will cover the development of digital services from the points of view of businesses, users and society at large. The professor is also expected to train students to make new insights and innovations of the data collected and...
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Modern molecular medicine requires state-of-the-art methodologies in data science, including algorithms and machine learning methods, and the analysis, visualization and modelling of large data sets. As part of an annual international joint call of the Nordic EMBL Partnership for Molecular Medicine, HIIT and Institute of Molecular Medicine Finland (FIMM) have five openings for doctoral students who show outstanding potential to become independent researchers and who will...
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The Artificial Intelligence Day held on 13 December 2017 in Dipoli, brought together 600 artificial intelligence experts and enthusiasts from universities, research organizations, companies and the public sector. The organiser of the event, the new Finnish Center for Artificial Intelligence FCAI established by Aalto University and the University of Helsinki, wishes to make the AI Day an annual event for promoting matchmaking, information sharing and cross-border collaboration. More information...
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The areas of partnership include artificial intelligence and data networks. Nokia has been an important partner for Aalto University and its predecessor universities for decades. For example, co-operation has taken place in the area of information and communications technology and as projects in the fields of arts and design and business. Nokia has made several significant donations to Aalto University, especially during the past two years. In this way, the company wants to promote research...
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Several Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland) (HIIT News)
Several positions to be filled at Aalto University and University of Helsinki in different areas of ICT: artificial intelligence and machine learning, data science, privacy and security, computational health, and human-computer interaction. We welcome applications linking two or more of these areas together, and encourage female applicants to apply! Deadline for applications is 31 January 2018. See... -
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New machine learning method developed by researchers at the University of Helsinki, Aalto University and Waseda University of Tokyo can use for example data on cell phones while guaranteeing data subject privacy. Modern AI is based on machine learning which creates models by learning from data. Data used in many applications such as health and human behaviour is private and needs protection. New privacy-aware machine learning methods have been developed recently based on the concept of...