58 parallel-computing-numerical-methods-"Prof"-"Eindhoven-University-of-Technology-(TU" positions at Wageningen University and Research Center in Netherlands
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experimental ecologists to ensure your models are biologically grounded. Write and publish scientific papers, culminating in your PhD thesis. The team You will be based in the Root Ecology team led by Prof. Dr
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scientific journals and complete your PhD thesis. The Team You will join the Root Ecology team led by Prof. Dr. Liesje Mommer at Wageningen University, part of the Forest Ecology and Forest Management group
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. Relying on geo-information science as the foundation of our research endeavours, we employ participatory methods and integrate qualitative and quantitative information to analyse the dynamic interactions
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income) and related environmental impacts (for example changes in soil carbon and/or reduced nitrogen losses). Research methods will include statistical analyses, modelling and potentially farm interviews
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candidates who can integrate Agentic AI with systems thinking, agent-based modeling, and system dynamics, thereby linking advanced AI with methods for analyzing, simulating, and designing complex socio
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. Chiel van Heerwaarden and Prof. Guido van der Werf within the chair Meteorology and Air Quality , which is led by Prof. dr. Maarten Krol . Your qualities You are/have: A Master’s degree in atmospheric
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Toxicology (link internet page Chairgroup), and member of the advanced in vitro models for toxicology team, which is led by Prof. Dr ir Hans Bouwmeester (link LinkedIn page chairholder or page at WUR site
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‘Fueling the fire: How do social media contribute to polarization?’ (PI prof. dr. Sanne Kruikemeier) and is embedded in the Strategic Communication group at Wageningen University and Research. In the project
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where you will work under supervision of prof. dr. Aldrik Velders and dr. Sander Baas. The project is conducted under co-supervision in close collaboration with prof. dr. Diana Machado de Sousa
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communication and willingness to have a societal impact; an empirical research focus and knowledge of quantitative content analysis and computational methods; proven proficiency in statistical software such as