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motivated PhD Candidate to strengthen our team. The position aims to use Earth Observation data to improve understanding and modelling capabilities to provide more reliable projections of future fire dynamics
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3D printers, furnaces, centrifuges, and microfluidic devices. Meticulous data recording and analysis are essential, as the project combines practical engineering with fundamental physical chemistry
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organized into 10 work packages (WPs): Six WPs focus on disciplinary perspectives in psychology, education, computer sciences, law, and philosophy. Four WPs address citizen-empowerment-scenarios (CES) in
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research prototypes that the community can benefit from. The SCS group is internationally recognized in the broad areas of systems, AI, and data security and is unique for its collaborative and friendly
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existing datasets and set up new studies, collecting samples from horses and performing laboratory experiments followed by data analysis. Techniques such as 16S rRNA sequencing, shotgun metagenomic
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quantitative data and qualitative fieldwork. Publishing research findings in peer-reviewed academic journals and presenting them at conferences. Collaborating with interdisciplinary researchers and engaging with
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SHINE: SHaping unequal futures through Inherited Networks. SHINE collects multigenerational quantitative and qualitative data to study how parents’ social network connections and resources shape
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development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring
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, or similar) for data analysis and modeling; Theoretical background and genuine interest in porous media processes, such as fluid flow, reactive transport, soil-fluid interactions, or geomechanics; Excellent
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of Twente, in close collaboration with the MESA+ Institute for Nanotechnology and clinical and international partners. Information and application You can apply for this position until 31 March 2026 by