384 master-"https:"-"https:"-"https:"-"https:"-"Robert-Gordon-University" positions in Denmark
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or France. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of
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smart syntheses in collaboration with experienced postdocs. Responsibilities and qualifications The main responsibility is to design and execute synthetic routes to oligosaccharides. You will join a
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will lead a research project with the aim to understand the functional role and disease mechanisms of protein complexes associated with primary cilia and centrosomes. Cilia are antenna-like organelles
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contributions to research on teaching, curriculum development, and educational innovation in engineering or closely related STEM and professional fields. The successful candidate will bring an original and
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hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical
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rigorous development of sciences that relies on a strong theoretical foundation without neglecting practical impact. Qualification requirements PhD stipends are allocated to individuals who hold a Master's
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passionate to present the results in peer reviewed science journals. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3
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of the overwhelming majority of all such tools in existence today yield properties that fail to map to bonds, the entities of main interest to most of synthetic chemistry. To that end, BONDS – a new long-term project
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particular focus on Child-Computer interaction, AI literacy, and computational empowerment. The main tasks will consist of conducting research on participatory approaches to the design and study of AI literacy
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main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study