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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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-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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) on physical robots. • Use evolutionary algorithms to optimize both the robot’s body and brain together. • Apply quality-diversity methods to discover a wide range of high-performing designs
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and iteratively improved. • Integrate and test autonomy stacks (perception, learning, planning) on physical robots. • Use evolutionary algorithms to optimize both the robot’s body and brain
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Professor research work will include the following topics and tasks: Develop algorithms and theory for inversion of data collected by RIMFAX and other CENSSS instruments. Contribute to modelling, inversion
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algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and neuroscience. The candidate is
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using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and
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before taking up the post. For applicants who have yet to receive their PhD degree, the Doctoral dissertation must have been submitted for evaluation, or completed and scheduled for submission and
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must have been submitted for evaluation, or completed and scheduled for submission and evaluation, before the application deadline. Other qualifications Applicants must have a very good command of
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at the Natural History Museum, University of Oslo. The four-year employment includes 25% career enhancing work, such as teaching, curation of collections and research support. Employment is scheduled to start no