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Field
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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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Vacancies Doctoral Candidate Spatial statistics for integrating IoT field sensor data and remote sensing data for nature-inclusive solutions in tree crop diseases Key takeaways The University
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ones for different stakeholder groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department of Human
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groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department of Human Geography and Spatial Planning
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PhD: Spatial Optimization of Land Use in Brazil Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 13
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through their four key focus areas: Resource Security, GeoAI, Disaster Resilience, and Urban Futures. You will be working on remote sensing-based observational modelling by combining spatially distributed
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: Resource Security, GeoAI, Disaster Resilience, and Urban Futures. You will be working on remote sensing-based observational modelling by combining spatially distributed optical-thermal ground observations
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About us You will become part of a collaborative project team, consisting of a PhD researcher (you), a postdoctoral researcher, a junior researcher/research assistant, and three senior researchers: Dr. M. Donk, Prof. Dr. H. Slagter, and Dr. T. Knapen. You will be supervised by Dr. Donk and Prof....
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Are you fascinated by how people understand, navigate, and communicate complex spatial environments? Do you hold a master’s degree in cognitive science, environmental psychology, human-computer