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are designated for applicants that have participated in The Medical Student Research Program: These positions are exclusively for participants who have completed the Medical Student Research Program. It is a
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the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration with other researchers, perform data analyses, write scientific articles, supervise
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inference methods, survey design, and/or machine learning Experience with web scraping and API-based data collection Organizational and coordination skills, such as assisting in drafting terms of reference
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(written and spoken) The successful candidate is expected to move to Bergen Desired Qualifications: Experience with Stata Experience with causal inference methods, survey design, and/or machine learning
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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for the position. Application for admission to the PhD programme, including a project plan outline for the training plan must be submitted no later than three months after the date of commencement. The PhD-position
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have admission to the organized research training (PhD program) at the Faculty in order to qualify for the position. Application for admission to the PhD programme, including a project plan outline for
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to the organized research training (PhD program) at the Faculty in order to qualify for the position. Application for admission to the PhD programme, including a project plan outline for the training plan must be
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program) at the Faculty is essential for this position. Application for admission to the PhD programme, including a project plan outline for the training plan, must be submitted no later than three months
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to the doctoral programme, grade B or above for the master’s thesis is normally required. The applicant must have expertise in at least one systematic and analytical methodology, such as: designing, running, and