12 parallel-computing-"Prof" PhD positions at Wageningen University and Research Center in Netherlands
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the fields of marketing (research) and consumer behavior related to food, sustainability, and agribusiness. The research is led by Prof. Dr. Ilona de Hooge, who will be your promotor in this project. In
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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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‘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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at international conferences You will work here The research is embedded within the chair Experimental Zoology , led by Prof. Florian Muijres . You will be supervised by Dr. Antoine Cribellier . Your qualities
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embedded within the group of Dr. Fedor Miloserdov ( Homogeneous Catalysis and Biomimetic Synthesis - WUR ), located in the Laboratory of Organic Chemistry ( Organic Chemistry - WUR ), which is headed by Prof
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, located in the Laboratory of Organic Chemistry (Organic Chemistry - WUR ), which is headed by Prof. Han Zuilhof . You will be supervised by Dr. Laura Righetti and Dr. Gert Salentijn with support by
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appointed at WU-ORL, which is led by Prof. Dr. ir. Sander de Leeuw . You will be supervised by Dr. Rene Haijema from WU and Dr. Yasemin Merzifonluoglu from TiU. Your qualities You are eager to tackle real
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Tempels and prof. Martha Bakker. Your qualities You are someone who: Is excited about contributing to smart approaches to manage public space Seeks intellectual challenges and opportunities for growth Can
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and programmes Conducting research and reporting results in scientific papers and articles Leading project teams and supervising project or programme implementation Acquiring projects and taking
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quantitative skills and strong analytical capabilities; proven experience with experimental image and data analysis; proven experience with mathematical/computational modeling of experimental observations