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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
environment An exciting job with an important mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive
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collective behaviour Statistical and computational physics for complex data Astrophysical and space plasmas Space environment, space weather and technological impacts Magnetic confinement fusion energy Sea ice
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to understanding and designing AI-supported collaborative learning environments and technologies. The lab investigates how students learn with, through, and around AI, and develops new human-AI-human interaction
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to understanding and designing AI-supported collaborative learning environments and technologies. The lab investigates how students learn with, through, and around AI, and develops new human-AI-human interaction
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become part of a diverse, collaborative, and forward-thinking environment where your ideas and perspectives are valued. Our work extends beyond the lab—into field labs, innovation hubs, and partnerships
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
be applicable to command teams working in uncertain and information-degraded environments. Meaningful human control is necessary when humans have to be retained in or on the loop. This requires the AI
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, this position offers everything you need to thrive as a scientist. As a PhD student... You will find yourself in a unique research environment, inspired by passionate scientists from a wide range of disciplines
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understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product
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modeling, computer simulation, non-linear model analysis, interactive learning environments and decision-laboratory experiments. About the project/work tasks: Description of the INTEGRATOR project
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environment. You will closely collaborate with researchers and clinicians across experimental, clinical, and computational disciplines, gaining exposure to cutting-edge cardiovascular research and advanced