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publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and develop robust anonymization techniques that can balance privacy and data protection with data
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) Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable, systems development experience is an asset Hard
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of the industry partner for a varying range of data types (both structured and unstructured data). The proposed solution aims to address the key challenge of balancing data utility with privacy by developing
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The doctoral researcher will be working under the supervision of Professor Picard. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of Quantitative Urban and/or
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use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.