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dedicated CPU and GPU computing infrastructure to support large-scale numerical modelling and data analysis. You will receive extensive training in these techniques as part of your PhD project and will work
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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drones and outdoor data collection with international teams, and have an interest in coding and handling large spatial and temporal datasets, this position is for you. This PhD offers the opportunity
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19 Mar 2026 Job Information Organisation/Company Utrecht University Research Field Cultural studies » European studies History » Contemporary history History » Social history Researcher Profile
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of research); has experience with large-scale, complex data sets and advanced statistical methods; enjoys doing research and reporting the results in scientific articles; want to share scientific knowledge with
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, census, and non-traditional data sources such as web and satellite data. Contribute to ground-breaking methodology with real societal impact across the EU. Your job The Department of Methodology and
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beyond their immediate communities, and how they can build the infrastructures needed for large-scale engagement. Your insights will support ECCO’s societal partners in strengthening mobilisation
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7 Feb 2026 Job Information Organisation/Company Utrecht University Research Field Environmental science » Ecology Environmental science » Global change Political sciences » Governance Political
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scheduled in the week of 9 March 2026. Additional comments Additional information about the vacancy can be obtained via e-mail from Prof. Kei Otsuki via K.Otsuki@uu.nl Candidates for this vacancy will be
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. the contact information of two references (including e-mail; phone number, mailing address, and relationship to the applicant). The first round of interviews takes place in the third week of March 2026