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doctoral degree in Statistics, Data Science, Exercise Science, Kinesiology, Biostatistics, Epidemiology, Public Health, or closely related areas · Analytic coding skills for data management and
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the PhD in the day-to-day work of the consortia and provide direct access to the projects’ empirical material, tools, and networks. Within INFRA-CARE, this might include: - Collecting, coding and
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) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience with AI-based coding tools such as Claude Code, Codex or Cursor. Evidence of research productivity through publications
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with agentic coding tools and frameworks. • Record of peer-reviewed publications and effective collaboration across technical and scientific teams. • Experience with oncology or other clinical datasets
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program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship/ Documented research experience relevant to the project is a requirement. This may come from a master’s thesis