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PhD Position in Generative AI in Health Technology Assessment (HTA) Faculty: Faculty of Science Department: Department of Pharmaceutical Sciences Hours per week: 36 to 40 Application deadline
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The ability to work at the interface of science and clinical practice Good social and organisational skills, preferably with experience in (coordinating) data collection A teamplayer mentality and enthusiasm
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related discipline; An interest in the impacts of land use; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of
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; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of an interdisciplinary research team. The following qualifications
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interactions and microbiome research; an interest in quantitative biology, phenotyping and data analysis; the ability to organise research activities effectively, to communicate research findings to different
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Europe’s strategic innovation ambitions depend on the mobility of global talent, with a particular focus on STEM PhD recipients as key actors in science- and technology-based innovation. The project bridges
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PhD: Imagination infrastructures and the ‘boring power’ of techniques Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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the following criteria: an MSc in molecular biology, genetics, biotechnology, plant sciences, or a related field; experience in molecular biology techniques; the ability to communicate and organize work
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per se required; have the ambition and ability to finalize your PhD project in 4 years. Both recent graduates and more experienced professionals are encouraged to apply. Please note this concerns a full
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of the position; a solid foundation in quantitative research methods and statistics, and a strong interest in multilevel modelling; excellent written and spoken English; the ability to work independently, manage a