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to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the
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to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae
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with colleagues. Proficiency in written and spoken English is required. Knowledge of Danish is an advantage in relation to teaching and data collection, but it is not a requirement. Please note that non
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. You can communicate clearly in written and spoken English. Knowledge of Danish is an advantage, particularly in relation to teaching, but it is not a requirement. Please note that non-Danish speaking
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information, and if so, it is the responsibility of the applicants to provide the necessary material. Interviews and tests may be part of the overall evaluation. Application and salary The successful applicant
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, develop their own research profile, and contribute actively to the research environments at Aalborg University as well as to national and/or international research collaborations. Teaching It is a mandatory
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, develop their own research profile, and contribute actively to the research environments at Aalborg University as well as to national and/or international research collaborations. Teaching It is a mandatory
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sources Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend
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+ potentially 3 years. Within the 6-month employment as Research Assistant, it will be determined based on an individual assessment if the candidate is qualified for the PhD position. The start date is 15
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Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R