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. This is what you are going to do PhD student 1 (HomKat group) will develop new hydrogenation catalysts for terpenoids and/or carboxylic acids, based on (paramagnetic) base metal catakysts (Mn, Co, Fe, Ni
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’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize
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results in peer-reviewed scientific journals and presenting them at (inter)national scientific conferences; supervising BSc and MSc students during their thesis and helping with education; fulfilling
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. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs
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stakeholders’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations
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engagement, and ethical, regulatory and health-economic aspects of therapy development. The network will train a cohort of doctoral candidates in an international and interdisciplinary environment, combining
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engagement, and ethical, regulatory and health-economic aspects of therapy development. The network will train a cohort of doctoral candidates in an international and interdisciplinary environment, combining
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translation, patient engagement, and ethical, regulatory and health-economic aspects of therapy development. The network will train a cohort of doctoral candidates in an international and interdisciplinary
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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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of “tramp elements” from scrap and variable feedstocks, which can negatively affect steel quality and slag usability. This PhD project aims to develop a fundamental thermodynamic understanding of how tramp