40 postdoc-in-thermal-network-of-the-physical-building PhD positions at Utrecht University
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to contribute to sustainability transitions. You explore how these collectives and their networks reach beyond their immediate communities, and how they can build the infrastructures needed for large-scale
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citizen collectives can mobilise large sections of the population for sustainability transitions. You will examine how collectives and their networks reach beyond their immediate communities, how they build
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of geospatial reasoning and map-based knowledge discovery. Your job Geographic questions like 'What is the potential for reducing urban heat in Amsterdam by installing green roofs on existing buildings
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buildings?' are important in fields such as urban planning, sustainability, and public health. It requires the transformation of maps combining different suitable geodata sources, including heat sources and
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on existing buildings?' are important in fields such as urban planning, sustainability, and public health. Answering such a question requires the transformation of maps combining different suitable geodata
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together with a postdoctoral fellow, who will focus on the effect of vibrations on thermal catalysis and on developing X-ray operando characterisation methods. Your work will contribute to a new research
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PhD position on Arctic sea ice-Greenland ice sheet interactions Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 5 January 2026 Apply
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(e.g. safety, norms, networks) influence active lifestyles; develop and test physical activity and destination choice models, integrating data from sources such as sensors, surveys, Google Street View
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urban design, environmental stressors (e.g. heat, air pollution, pollen), and social factors (e.g. safety, norms, networks) influence active lifestyles; develop and test physical activity and destination
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be