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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
dedicated to research Team player and be able to work independently depending upon the situations Good communication and documentation skills via Unsplash We offer Professional development in a large
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and Animal Welfare, Nutrition and Physiology for Monogastric Animals, Plant Biology, Sustainable Food Systems and Integrated Plant Protection, and Genetics, Evolution and Sustainable Plant Production
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year before the position expires, you will be offered an interview to clarify your future career. The PhD research will focus on the development of AI models for analysis of prehospital ECGs, with
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variable and can be hard to predict. Therefore, wind power is exposed to both variations in electricity prices and balancing prices. In the later years, there has been an ongoing development in the European
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technologies. This initiative is instrumental in advancing the European Union's Quantum Technologies Flagship and the UN Sustainable Development Goals, fostering innovation-driven growth while preparing Europe
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living examples of a highly skilled workforce delivering an equitable energy transition so that Net Zero is inclusive for all. The development of deep geothermal energy systems relies on robust modelling
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development of new 3D nanoscale thermal metamaterials. If you want to play at the nexus of quantum, advanced materials, and thermodynamics, to design and create intricate nanoscale geometries that allow you to
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to participate in a Mentored Teaching module to learn and hone their skills in didactics, curriculum development, information synthesis, and scientific communication. In this module, students will be involved in
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 29 minutes ago
interdisciplinary development OLTECH members, regardless of their specialisation, can structure their individual programme according to the standardised basic curriculum . The basic curriculum provides a balanced
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-derived physiological data (e.g., activity, heart rate, temperature) with endocrine test outcomes to identify diagnostic patterns Contribute to multimodal datasets feeding into the broader development