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Field
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For this interdisciplinary and field-intensive project, we are looking for a highly motivated and skilled PhD candidate with a recent MSc degree (or equivalent) in biology, ecology, ethology, physics, or engineering, with a
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will be required to: - Design, plan and conduct a qualitative research project, in consultation with the supervisors. - Conduct fieldwork in North-East Groningen, develop and lead community-engagement
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or environmental assessment, and by developing annotation manuals and tests on a gold standard. This position is part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA
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gold standard of geo-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modelling), and a postdoc (on the GeoQA reasoning engine). It is
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that lead to lower infrastructure demand in the long run and reveal pathways to turning points in infrastructure use through a systemic modelling approach. Essential activities within your project will be
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student you will primarily work on the development, implementation and publication of research projects. Your PhD research will be supervised by the work package lead and other members of the Via Prudenti
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that your application continues to move forward in the evaluation process. We assure you that the information provided will be kept confidential and used solely for this application process. Welcome, safe
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satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is to be discussed. This should lead to a dissertation (PhD thesis). We will draft an educational plan
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
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synergy across mathematics, physics, and biology whose members are: Senja Barthel -- https://research.vu.nl/en/persons/senja-barthel Antoine Deblais -- https://www.deb-lab.com/ Joanna Ellis-Monaghan https