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Field
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addition, the dynamics and transport processes across the UTLS adds complexity to unveil the role of UTLS aerosols in cirrus formation and the life cycle of cirrus. Therefore, it is crucial to measure
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wide range of disruptions and response strategies Background The railway network in the United Kingdom is both complex and extensive. In 2024, it recorded approximately 1.7 billion passenger journeys
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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building
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geobiodiversity research with the aim of understanding nature in all its complexity and diversity in order to preserve it as the foundation of life for future generations and to ensure its sustainable use. Across
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interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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. Where to apply Website https://www.cam.ac.uk/jobs/research-assistantmsca-doctoral-network-phd-students… Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications
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geobiodiversity research with the aim of understanding nature in all its complexity and diversity in order to preserve it as the foundation of life for future generations and to ensure its sustainable use. Across
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external tools and memory components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains such as healthcare, finance, cy- bersecurity, and autonomous
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(Conservation Heritage Architecture, buildings and sites by Resilient Methods: hydro-climate factors), financed by European Research Executive Agency under action HORIZON MSCA Doctoral Networks. This project aims