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on our work and constantly improve it. We believe that the world can be improved with open data. Project background As part of our Open Science team, you will support us in developing efficient data
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. Isabel Z. Martínez and is based on rich administrative and survey data from Switzerland. The position offers the opportunity to gain insight into rigorous empirical research and to contribute actively
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one application per call on behalf of the Vice President Research. Candidates have to send their short proposal in English providing the information mentioned below by 28 April 2025 at the latest
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systems consisting of individually controlled atoms and atomic ensembles. Current research directions include: Demonstrating scalable architectures for fault-tolerant quantum information processing
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& further information International Networking Close Menu Engagement back Overview PageEngagement Awards Knowledge exchange Action plan 2025-27 back Action plan 2025-27 Empowerment GROW Guidelines & Quality
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Balance (TV/TB) and hardware verification tests Develop and maintain thermal models of spaceborne platforms or thermal control technologies, correlating with test data for validation Establish thermal
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portal. Applications via email or postal services will not be considered. Furthermore, applications without a research proposal will not be considered either. For further information about the group
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your online application with the following documents: Motivation letter CV Reference letters Certificates & Diploma Further information about Mobile Robotics Lab can be found on our Website . Questions
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Graduate Institute of International and Development Studies, Geneva; | Switzerland | about 5 hours ago
will not be considered. For more information on the Graduate Institute and the Department of International Law , please consult our websites. The Institute is an equal opportunity employer and values
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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're