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/scholarships/scholarship-policy-and-procedures The Opportunity This PhD scholarship forms part of a collaborative research program on digital transformation, data practices, and everyday life in Indonesia
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ecology and associated fisheries. A gap in local knowledge/data and technical capacity to coordinate and deliver usable data tools was identified. This gap inhibits the dynamic understanding of the impact
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are not limited to: Data visualisation Text mining Network analysis Digital mapping 3D modelling Augmented/Virtual reality AI and computer vision Digital exhibitions and archives Scholarly communication by
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, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information ecosystem. The PhD student(s) will be embedded
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15th February 2026 Languages English English English PhD Research Fellow in Patient control of their health data used for research and treatment purposes at the Faculty of Law, University of Bergen
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is a lively and research-oriented group of scientists and support staff with a broad interest in information processing in humans and computers, and a particular focus on the signals they exchange, and
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and spatial resolution of regional ocean model data around Europe, having broad use cases in mind such as offshore energy and aquaculture. As global climate variability intensifies, precise regional
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and routine methodologies for tech transfer to GMP operations Analyzing data and creating graphs using appropriate software (e.g., SoftMax Pro, Excel, Prism) and data visualization tools; writing
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in day-to-day tasks, including conducting research, acquiring and analyzing data, drafting manuscripts, and collaborating with interdisciplinary teams on various projects in the field of quantitative
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the