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A PhD stipend or integrated PhD stipend in computational materials chemistry is available. Development of new sustainable energy materials is required for our transition to a carbon neutral society
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that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at
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science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a
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would help clear the barriers for meaningful synthetic data sharing. The project– which is funded by the Novo Nordisk Foundation's Data Science Collaborator programme– is carried out in collaboration with
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be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at
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to enhance hydrological predictability under climate change. Profile:The ideal candidate has MSc degree in Geodesy, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering
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candidates with excellent qualitative and/or quantitative methodological skills. Furthermore, experience with developing experimental or quasi-experimental designs for social science research. is considered
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qualitative and/or quantitative methodological skills who have a scientific background in political science, public administration, international relations, or history. Candidates with alternative scientific
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Weidema(Aalborg University). It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at The Doctoral School of Social Sciences and Humanities, in accordance
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of Social Sciences and Humanities, in accordance with the regulations of Ministerial Order No. 1039 of 27 August 2013(PhD Order). Application Please visit thewebsite of the doctoral school for further