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through implementation and experimental validation on robots in real-world industrial environment. The position offers an opportunity to work at the intersection of semantic communications, robotics
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positive, inclusive, and respectful working environment, and we regularly exchange ideas about current topics and projects in our group meetings. More information about our research areas and our team can be
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scene, and leveraging that understanding for localization and navigation. A robot builds a picture of its surroundings one lidar scan at a time. Each scan on its own says very little; together
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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
University is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people
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resourceful and proactive, take ownership of your work, and can organise complex research activities independently within a multidisciplinary and international environment. Familiarity with the European medical
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different perspectives in our work UiO is an open and internationally oriented comprehensive university that aims to provide an inclusive and diverse workplace and academic environment. We fulfil our mission
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inform ongoing foresight. The successful candidate will develop an independent PhD project within this theme and contribute to REGULAIRE’s interdisciplinary research agenda. Research environment and
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 12 days ago
-disciplinary research in a vibrant, international scientific environment First-class supervision and mentorship by a team of internationally renowned experts Outstanding training in your scientific subject and
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learning from demonstrations and generalisation to unfamiliar tasks, objects or environments. World models and planning Develop models that predict how the physical world responds to actions, supporting
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methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning, computational statistics, and