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How does the microbiome surrounding a plant determine whether a pathogen can successfully invade? And can we predict disease outcomes from microbiome composition and plant phenotypes? Join us as a
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Apply now How does the microbiome surrounding a plant determine whether a pathogen can successfully invade? And can we predict disease outcomes from microbiome composition and plant phenotypes? Join us as
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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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information from national and EU HTA reports, and identifying the conditions required to scale this across jurisdictions. Developing how GenAI can may link the methodological needs of HTA bodies to existing and
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into technological and economic value. The project combines large-scale longitudinal data on PhD recipients with complementary sources such as publication and patent data, and aims to enrich these with other sources
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hours; a gross monthly salary of € 3.204 and €4.051 in the case of full-time employment (salary scale P, job profile PhD candidate (promovendus in Dutch) of the University Job Classification (UFO), under
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extract, harmonise, and analyse information from national and EU HTA reports, and identifying the conditions required to scale this across jurisdictions. Developing how GenAI can may link the methodological
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under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes
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results in a doctorate within this period; a working week of 36 - 40 hours and a gross monthly salary between € 3.204 and €4.051 in the case of full-time employment (salary scale P under the Collective
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employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU)); 8% holiday pay and 8.3% year-end bonus; a pension scheme, partially paid parental leave and flexible terms