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of Geosciences studies the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation. With 3,400 students
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integrating single-nucleus epigenomic profiling of brain immune cells with high-resolution spatial transcriptomics. The PhD candidate will characterize epigenetic and transcriptional states of immune cells in
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burial, and places of exile and imprisonment. The project will examine how virtual environments can translate material, spatial, and narrative information into meaningful, interactive experiences across
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. The program develops scientific knowledge, models and simulation tools to support marine spatial planning in a multi-stakeholder co-creation process. You will join a team of 17 PhDs and postdocs across
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participatory mapping, interviews, ecological fieldwork, ethnography, arts-based methods and relation-based simulation modelling in transdisciplinary processes in order to examine ecological and socio-spatial
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student interested in doing research in behavioral economics with a focus on improving environmental and development outcomes for society? The Department of Spatial Economics at the School of Business and
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of questionnaires, all in which you’ll play an important role. In this role you provide the technical support for such aspects. Key responsibilities will be to: Gather spatial information on the pioneer farms
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imaging with DUV spectroscopy and nanophotonics at the absolute limits of spatial resolution and sensitivity. We have a clear yet ambitious goal: To develop the most sophisticated and versatile DUV imaging
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Tsendbazar (land cover validation), Dr. Johannes Reiche (near-real-time monitoring), and Prof. Dr. Sytze de Bruin (spatial statistics). This PhD programme is also a part of PE&RC, a collaborative research and
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of algorithms and data structures for spatial data. It combines clever algorithmic techniques with beautiful geometric concepts to obtain efficient solutions to algorithmic problems involving spatial data