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Field
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and de-fossilizing 1.5m buildings and 7m homes by 2050. Existing approaches in practice are too slow and inefficient to meet these targets. The PRE-MADONA project develops a game-changing solution that
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processes—saving time, resources, and costs. The Challenge Transitioning to renovation flows demands the development of a set of support tools that can leverage a wealth of available and to-be-collected data
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simultaneously biodiversity recovery and ecosystem services while providing a nature-based solution to adapt to climate change. Freshwater wetlands have been developed in particular as a response to flooding risks
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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this project, you will as PhD researcher conduct research on developing an agent-based model simulating the HPAI intervention and involving relevant actors in the poultry value chain. Research will consist
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English. You are willing and able to develop yourself into an independent. scientist (growth mindset). Experience with chemical analysis is essential. Experience in fieldwork would be an advantage. We offer
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archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
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is embedded in the International Development Studies section of the department and will have access to expertise from the staff in this section. The team will work closely together (e.g., workshops