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atmosphere; understanding the fundamental mechanism of mechanochemical polymer chain cleavage; developing a strong knowledge base for mechanochemistry of polyolefins; advising, supervising and working closely
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will
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what we are good at. We see that the health and welfare of animals, humans and the environment are interconnected. By sharing our knowledge and working together, we make positive impact, both nationally
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chain cleavage; developing a strong knowledge base for mechanochemistry of polyolefins; advising, supervising and working closely with other team members. Your qualities You enjoy working in a team, while