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the Centre for the Study of Professions. Programme description Information about the content and structure of this programme is described in more detail in the programme description (student.oslomet.no) PhD
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. They should be proficient in conducting quantitative or qualitative analyses. Alongside developing own research ideas, applicants should be capable of turning those ideas into well-structured and
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structured In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience, and personal suitability, in terms of the qualification requirements specified in
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, extremal combinatorics, structural graph theory, and related fields. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in Mathematics (Combinatorics and/or
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and written communication skills in English. Ability to work independently and collaboratively, with high work capacity and a structured approach to complex and parallel processes. Ability to manage a
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) familiarity with machine learning, data analytics, or deep learning keen interest in privacy-preserving technologies proficiency in both written and oral English work independently and in a structured manner
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experience with qualitative research methods, such as interviews and/or design-based research be able to work independently and in a structured manner, and have good collaboration skills possess excellent
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cell biology and computational modelling, especially using R, is an advantage. Experience with applied statistics is an advantage. Applicants must be able to work independently and in a structured manner
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statistics. Experience with cell biology and computational modelling, especially using R, is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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the field professional and personal skills for completing the doctoral degree within the timeframe ability to work independently and in a team, be innovative and creative ability to work structured and handle