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engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
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computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a postdoc at NIOZ in a collaboration with
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students. Under the mentorship of Prof. Christian Kaiser, you will have the freedom to explore your own ideas within the project goals. You will work closely with junior investigators in the group as well
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the Plant-Microbe Interactions group and work within the NWO Vici project ResistoBiome: Predictive microbiome modelling for resilient and sustainable potato cropping systems. In this project, you will
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usable across domains. The project is embedded in the Computational Geography group at the Department of Physical Geography, where you will work with researchers in environmental geo-spatial AI method
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Translational Plant Biology (TPB) group at Utrecht University, focused on applying molecular biology, genome editing, synthetic biology, and artificial intelligence to translate knowledge of plant
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, sense of belonging and wellbeing among neurodivergent students, including students with ADHD and autism. Students from ethnic minority backgrounds will serve as a comparison group, allowing you to examine
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international scientific publications and a dissertation; • presenting findings at national and international conferences; • teaching (10%); • actively participating in the research group
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will directly measure social network deficits across multiple migrant groups and enable systematic migrant-group comparisons. Supervision Team The project will be supervised by Verena Seibel and
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international journals and presenting at conferences. participating in the academic community of the Department and the research group, including seminars and workshops. contributing to teaching or