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the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and
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now As a successful candidate, you will be part of the international research project “Follow the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD
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of the following subjects: scalable data management, systems for machine learning, distributed and parallel systems, or cloud-based systems. We are especially interested in researchers who build working systems and
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these techniques, X-ray fluorescence (XRF) imaging provides detailed information on the distribution of chemical elements across paint layers, giving unique access to pigments, mixtures, and underlying compositions
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working relationships and technical networks with users, project groups and other organisations both inside and outside the Agency; Reporting to high-level management and flowing down communication from
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-modal foundation models, including SciFM architectures coupled to knowledge graphs, GPU-accelerated PyTorch training pipelines, distributed training on HPC systems, and tools for training diagnostics and
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data management, analysis and modelling services to foster user exploitation activities as well as the growth of a sustainable industrial network of services. This development particularly relies
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: https://eo4society.esa.int/communities/scientists/ More specifically, the Trainee will be part of the Earth System Science Hub, a new science laboratory in ESA working as center for networking and
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well as identifying new areas in which the development of cooperation would benefit ESA. Duties Your duties will involve: developing and managing close contact with EU institutions; building an effective “space network
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; Anticipating and resolving sensitive or difficult situations, detecting and managing health and safety issues, and liaising with HR as required; Establishing good working relationships and technical networks