21 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Utrecht University
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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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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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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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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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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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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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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
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and professional development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading
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enterprises and private undertakings. This interdisciplinary project follows a mixed methods approach, combining doctrinal legal research with data-driven, experimental and qualitative methods. Your job State