22 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" PhD positions at Utrecht University
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deposits along an east-west transect around the major marine estuaries of Zeeland. You will integrate existing and new field data and investigate the botanical composition of the peat and, using pollen
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that explain why some repeat RNAs are toxic while others are not. Your responsibilities include: Independently conducting experimental work and performing data analysis; Presenting your progress in regular team
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deposits along an east-west transect around the major marine estuaries of Zeeland. You will integrate existing and new field data and investigate the botanical composition of the peat and, using pollen
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data collection at Altrecht Center for Personality Disorders, and analyse longitudinal EMA data collected both during psychotherapy sessions and in daily life. You will collaborate with therapists and
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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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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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and disease development after infection with Phytophthora or Ralstonia . You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen
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narratives are linked to political engagement? The project will combine multimodal social media analysis with survey experiments, and data-donation methods. By connecting digital communication with individuals
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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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of) an MSc program in Geoinformatics, Computer Science, (Quantitative) Geography, (Spatial / Geographic) Data Science, Environmental Science, or a related discipline; An interest in the impacts of land use