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Field
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AI-applications to help solve problems such as disinformation, algorithmic bias and filter bubbles. Together with our partners we will also (co)-create new ethical and legal frameworks for responsible
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performed by human experts. The aim of this PhD project is to design innovative monitoring algorithms for complex dynamical systems to automate fault isolation with diagnostics performance guarantees. Current
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Are you passionate about mathematical systems and control theory? Do you want to develop cutting-edge control algorithms for the security of cyber-physical systems? Then you are the PhD candidate we
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stability of swarm behaviour, and validate novel control strategies that quickly adapt to rapid changes in supply/demand. New effective market, contracting, and algorithmic mechanisms are needed to be derived
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Cubiq Technologies and the two research groups. You will be a part of a team that consists of 1 EngD, and 2 PhDs. Successful candidate will work on a field demonstration of DSP algorithms for FSO
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measured by a 7,000-tonne detector in the ATLAS experiment at the Large Hadron Collider? We look forward to your application! As a PhD candidate, you will conduct fundamental research in experimental
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and Mission Science team located at ESTEC (Noordwijk, Netherlands) to align the development of AI-driven methodologies and algorithms with the CHIME mission. Technical competencies Knowledge relevant
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in close collaboration with Cubiq Technologies and the two research groups. You will be a part of a team that consists of 1 EngD, and 2 PhDs. Successful candidate will work on a field demonstration of
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increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance
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, prove the convergence and stability of swarm behaviour, and validate novel control strategies that quickly adapt to rapid changes in supply/demand. New effective market, contracting, and algorithmic