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will compute Pareto frontiers with spatial optimization algorithms. More specifically, you will: Travel to Brazil to interact with various stakeholders in land use in MATOPIBA; Translate stakeholders
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adds value and where its risks lie, is lacking. In this PhD project you will map current and future GenAI use across the full HTA lifecycle, from horizon scanning to reassessment, and translate
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that are offered through the Graduate School of Life Sciences. You will be working within the Translational Plant Biology (TPB) group at Utrecht University, focused on applying molecular biology, genome editing
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where knowledge is created and where it is ultimately translated into technological and economic value. The project combines large-scale longitudinal data on PhD recipients with complementary sources
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on the other hand, the climate crisis with far-reaching environmental consequences like changing water-levels. Translated into policy, both crises demand space and new spatial constellations, but
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optimization algorithms. More specifically, you will: Travel to Brazil to interact with various stakeholders in land use in MATOPIBA; Translate stakeholders’ preferences in terms of ‘productive agriculture’ and
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; translating findings into practical recommendations in collaboration with the USO project NeUUroinclusive Education and relevant university stakeholders; Teaching/supervision of theses (max. 10% of your time).
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interpret and emotionally respond to them, and how these interpretations are associated with different forms of political engagement. A central question is under what conditions emotionally charged migration
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, you will compute Pareto frontiers with spatial optimization algorithms. More specifically, you will: Travel to Brazil to interact with various stakeholders in land use in MATOPIBA; Translate
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to reassessment, and translate these insights into concrete, evaluated tools for HTA assessors. Your job You will be on the frontline of using and implementing GenAI in the cyclic HTA approach to medicines