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(scientific) programming, and an affinity with network analysis in particular. You are able to work with very large data and have the creativity and curiosity to develop AI models for network analysis
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populations are to be expected, especially given the large quantity of future planned OWFs. Also we would like to test the attraction versus production hypothesis: are fish simply attracted to the monopiles
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year 2025 - 2026, the focus of the papers will be on urban planning and water management, within a project that will lead to the development of a city atlas of Rabat. For more information on the minor
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large teams Experience with magnetic cleanliness characterisation and test methods would be another asset Experience in the evaluation of electrical safety and human exposure to non-ionising
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commercially important species maize and its relatives. Your project will focus on optimising stress protocols (parasitic plant Striga, drought, soil compaction), generating phenotypic data from high-throughput
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design or electromagnetic simulation would be an asset, as would experience of working on projects and in large teams Experience with magnetic cleanliness characterisation and test methods would be another
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AI techniques in space assets to support the analysis of data directly onboard, minimising the time required to extract insights and also minimising the downlink of large amounts of data. You will use
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to data analysis and science communication. PhD students at BirdEyes will gain expertise in cutting-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre
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Your job Data are important for measuring the preconditions, processes, and effects of (urban) infrastructure. However, this often brings certain values into focus more than others. Aspects such as
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-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre provides access to extensive global datasets, fostering collaboration across disciplines and