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) for education and professional practice, both at the individual level and/or in collaborative contexts. The project should explore how AI and other emerging digital technologies shape and transform work tasks
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on the centre can be found at: https://SMARTbiomed.dk/ Terms of employment The employment as PhD fellow is full time and for 3 years. It is conditioned upon the applicant’s successful enrollment as a PhD student
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formulated research project that addresses questions related to the role and effects of management accounting and control practice in public sector organizations at state, regional and/or municipal level
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research and teaching. It hosts several research groups in pure and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https
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wish our staff to reflect the diversity of society and thus welcome applications from all qualified candidates. Terms of employment The average weekly working hours are 37 hours per week. The position is
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for SMARTbiomed, Section of Biostatistics, Department of Public Health, University of Copenhagen. https://smartbiomed.dk Terms of employment The average weekly working hours are 15 hours per week. The position
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test of your English skills here: https://healthsciences.ku.dk/phd/admission-requirements/language/ • An interest in self-development and working in a multidisciplinary research group and project
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the Lubberding group we aim to find novel treatment strategies for cardiometabolic disease. We do this by investigating the molecular mechanisms of cardiometabolic disease and probing possible novel targets
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to participate in international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https
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research dissemination activities. Academic guidance Flexible working hours. Wage and employment conditions: The job is on average 10 hours a week. The employment is made in accordance with the Collective