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for creative or artistic purposes PhD thesis relevant to the research described in MishMash WP1 Experience with AI methods/algorithms such as evolutionary and quality-diversity search, generative ML models
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methods/algorithms such as evolutionary and quality-diversity search, generative ML models, hybrid models, bio-inspired approaches, multi-agent systems Experience with real-time or embedded systems
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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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industry partners. Design, implement, and validate advanced reinforcement learning models. Utilize reinforcement learning and evolutionary algorithms to discover new chemical materials. Publish and present
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological