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programme. It is required to complete the master's degree in Multimedia and Game Technologies with an average grade of B or better in the fourth semester, i.e. two years after admission to the integrated PhD
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To be admitted to the PhD programmes at the University of Oslo, an applicant must have a five year Master's degree or equivalent studies that have been recognised by the faculty as forming a sufficient
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the Marie Sklodowska-Curie Actions(MSCA) Doctoral Network HEPARD PhD Candidate in Health Economics and obesity Apply for this job See advertisement Job description Applications are invited for a 3-year
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be able to be employed. About the application The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application
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school and societal environments, render explanations relevant to municipal and national stakeholders forming schools and health services. Moreover, by evaluating both potentially negative and positive
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attachments from the ENDOTRAIN webpages - including 1. Application form 2. CV 3. Mobility declaration 4. Motivation Letter Eligibility (MSCA Doctoral Network rules) Applicants can be of any nationality. Must
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dimensions of health and medicine — from everyday experiences of illness to the ways medical knowledge, technologies, and policies shape societies. Responsibilities Lead the development of the case study on
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the Marie Sklodowska-Curie Actions (MSCA) Doctoral Network HEPARD PhD position in Health Economics and Precision Cancer Apply for this job See advertisement Job description Applications are invited for a 3
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Qualification and personal qualities The applicant must hold a Norwegian PhD or equivalent doctoral degree in molecular and cell biology, and neurochemistry or related fields. The successful applicant must have
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Applications are invited for a 4-year PhD position in Biostatistics, in a project on causal inference for the effects of vaccines and other pharmaceuticals, at the Oslo Centre for Biostatistics and Epidemiology