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at the interface of machine learning, statistics, probability, and with applications in statistical genetics, developing new theory, algorithms, and scalable implementations. Starting date as soon as
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of work is Department of Technology Systems at Kjeller, Lillestrøm. Job description The person hired in the position will work on theoretical algorithms for robust multiagent system coordination, and
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interest since 2000. It allows us to better plan our cities, and new approaches have been made possible with the widespread use of smartphones carrying several different sensors. As a matter of fact, in most
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person hired in the position will work on theoretical algorithms for robust multiagent system coordination, and deploy these algorithms on a state-of-the art swarm of UAVs. The PhD project will culminate
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particular focus on developing fundamental AI algorithms and methods that can be used in systems for real-time creative and artistic settings. The candidate will be part of a team that creates algorithms
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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-based methods to achieve personalised and novel outputs. This position will have a particular focus on developing fundamental AI algorithms and methods that can be used in systems for real-time creative
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: Develop and apply evolutionary algorithms to jointly optimize both the robot’s morphology and autonomy, and apply quality-diversity methods to discover a wide range of high-performing designs. Work
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of the candidate and the needs of the research center. More specifically, the postdoc will work on the following topics, in collaboration with the rest of the team: Develop and apply evolutionary algorithms
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throughout the postdoctoral period. Postdoctoral development programmes . Mentoring and support structures tailored to early-career researchers Flexible working conditions, with understanding for different