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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The documentation that is necessary to ensure that admission requirements are met must be
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information, please see the PhD Regulations . Experience from data science or relevant laboratory work. Fluency in written and spoken English in agreement with the admission criteria for the PhD program. For
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abroad. For more information, please see our web site . Qualification requirements Applicants must satisfy the requirements for admission to the faculty´s PhD programme. This normally includes: Applicants
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, active participation in research activities, collection and processing data, publication in international peer-reviewed journals, and finally writing a PhD dissertation to be defended at a doctoral
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equitable and inclusive. This PhD position has an education and society-oriented focus. The PhD Fellow will work with large-scale register and cohort data to investigate how social structures interact with
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to NTNU’s PhD program in Engineering at NTNU. Good written and oral English skills. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application
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fairness in FairChoices: DCP Analytics Tool (www.fairchoices.org ) and integrate these with existing information on the cost-effectiveness of multiple health care interventions. To apply social welfare
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of a rich linkage of register data on the whole Norwegian population and larger health studies. The PhD candidate will be part of an interdisciplinary team of researchers with backgrounds in demography